Relevant bibliographies by topics / Herding

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Herding'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Herding"

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Ramli, Ishak, Sukrisno Agoes, and Ignatius Roni Setyawan. "Information Asymmetry And The Role Of Foreign Investors In Daily Transactions During The Crisis; A Study Of Herding In The Indonesian Stock Exchange." Journal of Applied Business Research (JABR) 32, no. 1 (June 25, 2016): 269–88. http://dx.doi.org/10.19030/jabr.v32i1.10178.

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The purpose of this study is to prove that there was herding behavior by domestic investors following that of foreign investors in the Indonesian Capital Market (IDX) and that the herding was influenced by information asymmetry. It began when global investors undertook international diversification to the IDX because the returns on their portfolios were not on the efficient frontier during the crisis and because of the low correlation between Indonesia’s economy and the American and European economies. Utilizing the IDX daily transaction data during the years 2009-2011, the herding behavior of domestic investors, which followed that of foreign investors, was tested by Lakonishok models as was the influence of information asymmetry on the herding. It was found that the herding behavior in the IDX occurred in buy, sell or entire herdings (buy and sell). There were 0.40 to 0.55 buy herdings and 0.20 to 0.40 sell herdings during the crisis in 2008 and 2009. Buy herding then continued in 2010 onwards, although with lower intensity (0.05 to 0.20); however, sell herding decreased dramatically, and there has been almost no sell herding since then. Nevertheless, domestic investors did then sell in the opposite strategy, which was to sell when foreign investors tended to buy. Subsequent findings demonstrated that herding occurred with the influence of information asymmetry between domestic and foreign investors.
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Ramli, Ishak, Sukrisno Agoes, and Ignatius Roni Setyawan. "Information Asymmetry And The Role Of Foreign Investors In Daily Transactions During The Crisis; A Study Of Herding In The Indonesian Stock Exchange." Journal of Applied Business Research (JABR) 32, no. 1 (December 31, 2015): 269. http://dx.doi.org/10.19030/jabr.v32i1.9537.

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<p>The purpose of this study is to prove that there was herding behavior by domestic investors following that of foreign investors in the Indonesian Capital Market (IDX) and that the herding was influenced by information asymmetry. It began when global investors undertook international diversification to the IDX because the returns on their portfolios were not on the efficient frontier during the crisis and because of the low correlation between Indonesia’s economy and the American and European economies. Utilizing the IDX daily transaction data during the years 2009-2011, the herding behavior of domestic investors, which followed that of foreign investors, was tested by Lakonishok models as was the influence of information asymmetry on the herding. It was found that the herding behavior in the IDX occurred in buy, sell or entire herdings (buy and sell). There were 0.40 to 0.55 buy herdings and 0.20 to 0.40 sell herdings during the crisis in 2008 and 2009. Buy herding then continued in 2010 onwards, although with lower intensity (0.05 to 0.20); however, sell herding decreased dramatically, and there has been almost no sell herding since then. Nevertheless, domestic investors did then sell in the opposite strategy, which was to sell when foreign investors tended to buy. Subsequent findings demonstrated that herding occurred with the influence of information asymmetry between domestic and foreign investors. </p>
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Ristianawati, Yuyun, Prihasantyo Siswo Nugroho, and Kiswoyo. "Pengembangan Kawasan Wisata pada Rest Area Boja dalam Mendukung Peningkatan Pedapatan Desa Melalui Perilaku Herding (Studi Kasus di Kawasan Wisata Rest Area Desa Boja, Kecamatan Boja, Kabupaten Kendal)." Jurnal Ekonomi dan Statistik Indonesia 1, no. 3 (December 29, 2021): 268–75. http://dx.doi.org/10.11594/10.11594/jesi.01.03.12.

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The aims of this research is to study the mindset of Herding's behavior on the income level of tourism objects through the results of tourism development in the Rest Area of Boja Kendal Village. In this study, 95 people/MSMEs. In this study, the authors used a purposive random sampling technique.
 The results of this study are herding behavior has a positive and significant effect on the income level of MSMEs in the Boja rest area tourist attraction. Herding behavior has no effect on tourism development decisions. The development of tourism objects has no effect on increasing income. Herding behavior has no significant effect on the income level of tourist objects through tourism area development decisions. So that the development of tourist areas is not able to mediate the influence of herding behavior on increasing MSME income in the Boja rest area tourist attraction.
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Ristianawati, Yuyun, Prihasantyo Siswo Nugroho, and Kiswoyo. "Pengembangan Kawasan Wisata pada Rest Area Boja dalam Mendukung Peningkatan Pedapatan Desa Melalui Perilaku Herding (Studi Kasus di Kawasan Wisata Rest Area Desa Boja, Kecamatan Boja, Kabupaten Kendal)." Jurnal Ekonomi dan Statistik Indonesia 1, no. 3 (December 29, 2021): 268–75. http://dx.doi.org/10.11594/jesi.01.03.12.

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The aims of this research is to study the mindset of Herding's behavior on the income level of tourism objects through the results of tourism development in the Rest Area of Boja Kendal Village. In this study, 95 people/MSMEs. In this study, the authors used a purposive random sampling technique.
 The results of this study are herding behavior has a positive and significant effect on the income level of MSMEs in the Boja rest area tourist attraction. Herding behavior has no effect on tourism development decisions. The development of tourism objects has no effect on increasing income. Herding behavior has no significant effect on the income level of tourist objects through tourism area development decisions. So that the development of tourist areas is not able to mediate the influence of herding behavior on increasing MSME income in the Boja rest area tourist attraction.
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Carbone, Enrica. "Ownership herding and informational herding." Applied Economics Letters 17, no. 12 (July 27, 2010): 1201–4. http://dx.doi.org/10.1080/00036840902845392.

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Nicol, Danny. "Progressive Eras, Periods of Reaction, and Constitutional Change." German Law Journal 15, no. 3 (May 1, 2014): 437–59. http://dx.doi.org/10.1017/s2071832200018988.

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This article argues that “political herding” plays a crucial role in driving and shaping constitutional change. It links the prevalence of political herding to a psychological phenomenon, “social influence.” It goes on to argue that constitutional change is often driven by the desire for certain substantive policies, which in turn are determined by whether, in a particular epoch, the political community is herding in a progressive or reactionary direction. Contending that the general phenomenon whereby political communities go through recurrent swings to the left or to the right has been neglected by scholars, this essay aims to give this phenomenon the centrality it merits in relation to the evolution of the British constitution. Accordingly it considers the 1906 Liberal government, the 1945 Labour government and the lengthy succession of post-1979 neoliberal governments, analyzing how substantive progressive and reactionary programs led to constitutional change. Finally this article considers the legitimacy both of political herding itself, and of political herding's impact on constitutional change.
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ALI, MAZHAR, HUMA AMIR, and AAMIR SHAMSI. "Consumer Herding Behavior in Online Buying: A Literature Review." International Review of Management and Business Research 10, no. 1 (March 7, 2021): 345–60. http://dx.doi.org/10.30543/10-1(2021)-30.

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The purpose of this review paper is to present the application of herding behavior in online buying. The simplest description of herding behavior is the imitation of others in making decisions. Online buying platforms have facilitated observing others' buying behavior, thereby increasing possibilities of social influence on our information search, evaluation, and buying. The concept of herding is multi-disciplinary; however, the literature review on herding behavior is mainly grounded in economics and finance. There is little understanding of herding behavior in marketing literature. Therefore, this study covers herding behavior literature through high-quality research papers published from 2000 to 2020 in journals indexed in the social science citation index, science citation index expanded, and emerging source citation index. This paper discusses the conceptualization of herding in online buying, herding situations, information-processing view of herding, measuring herding effect, herding models and theories, and areas for future research to enrich herding literature in online buying. This paper proposes a herding model (HCMMD) based on the stimulus-organism-response (SOR) theory to study herding behavior. Keywords: Consumer Herding Behavior, Herding Literature Review, Herding Models, Online Buying, Stimulus-Organism-Response (SOR) Theory.
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Ahmed, Kamran, Khuram Shafi, and Samina Nawab. "DYNAMICS OF HERDING BEHAVIOUR DURING EXTREME MARKET MOVEMENTS IN CHINA AND PAKISTAN." Pakistan Journal of Social Research 04, no. 04 (December 31, 2022): 664–82. http://dx.doi.org/10.52567/pjsr.v4i04.881.

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This paper investigates herding behaviour in China and Pakistan by using dynamic herding approaches and herding during extreme market movements. We use daily returns of the Shanghai stock exchange (SSE) and Pakistan stock exchange (PSX) from 2006 to 2021. Several models are used to study herding, such as least squares model, generalized linear model, and Bai and Perron's structural change model. Overall, results through the linear model show that China has significant herding, but no herding is found in Pakistan. According to Bai and Perron's model, herding is evident in two different regimes of both countries. The first regime shows herding during USA global financial crisis of 2008. The second regime was during the Hong Kong protest, which drove herding in China. In Pakistan, herding is found during political crisis and terrorism activities. From the perspective of extreme market movements, China and Pakistan both showed herding during 10% values. Contrary, no herding was found during 1% values, but Pakistan showed herding during 5% values at both extremes, and China only showed herding during the upper extreme. Hence, herding should be measured at 10% rather than 5% and 1%. Keywords: Behavioural finance, herding behaviour, extreme market movements, cross-sectional absolute deviation, structural change model. Jel classification: G01, G11, G12.
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Economou, Fotini. "Herding in frontier markets: evidence from the Balkan region." Review of Behavioral Finance 12, no. 2 (August 12, 2019): 119–35. http://dx.doi.org/10.1108/rbf-08-2018-0090.

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Purpose The purpose of this paper is to examine herding in four frontier markets in the Balkan region, namely, Bulgaria, Croatia, Romania and Slovenia, from October 2000 to December 2016. Design/methodology/approach The author employs Chang et al.’s (2000) cross-sectional dispersion approach to capture herding, while also testing for the global financial crisis’ effects and the European Union (EU)/Euro zone accession effects over herding. Potential asymmetric herding effects conditional on market performance, domestic volatility, German and US investor sentiment are also examined. Finally, the cross-market herding dynamics of the region are also explored. Findings Overall, Romania exhibits the most extensive evidence of herding across various estimations. The empirical results indicate that cross-market herding dynamics within the region generate stronger herding (compared to the herding observed within each stock market individually), suggesting that Balkan stock exchanges’ growing financial integration leads their herding to be “imported”, rather than domestically motivated. Practical implications The findings provide useful insights for regulators in frontier markets, considering the destabilising potential of herding; they are also of particular interest to the investment community for reasons of international asset allocation, diversification and hedging strategies. Originality/value This study contributes to the limited herding literature regarding frontier markets and provides novel findings regarding the herding dynamics in the Balkan region, the EU/Euro zone accession’s effect and global factors’ impact on herding estimations.
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Lu, Yang-Cheng, Hao Fang, and Yen-Hsien Lee. "The informational and non-informational compositions of UK fund managers’ dynamic herding in the stock market." Panoeconomicus 64, no. 5 (2017): 571–92. http://dx.doi.org/10.2298/pan150212016l.

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This paper examines whether UK fund managers engage in herding behaviour in the stock market using the dynamic herding measure, whether their herding behaviour is different during bullish and bearish periods, whether most of their herding is informational, which types of informational reasons act as the main drivers of their herding and whether there are non-informational drivers of their herding. Our results reveal that UK fund managers engage in significant herding behaviour and that this behaviour does not differ significantly from bullish to bearish stock markets. Moreover, we confirm that there are weak positive correlations between fund managers? herding and stock returns within the subsequent year, which indicates that their herding is mainly informational. To improve portfolio performance, other investors could follow UK fund managers and purchase stocks overbought by them with at least 15 traders quarterly in the following one-year period, particularly for growth-type, sectorspecific and international-type funds. Moreover, because they are more likely to herd in large-capitalisation securities, the informational reasons driving managers? herding behaviour are mainly related to investigative herding. We also find that growth-type and international-type funds are more likely to herd with similar- type funds. This finding may result from reputational and characteristic herding, which illustrates that non-informational reasons for managers? herding still exist.
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Dissertations / Theses on the topic "Herding"

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Samadi, Samira. "Near-optimal Herding." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50167.

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Herding is an algorithm of recent interest in the machine learning community, motivated by inference in Markov random fields. It solves the following Sampling Problem: given a set Χ \subset R^d with mean μ, construct an infinite sequence of points from Χ such that, for every t ≥ 1, the mean of the first t points in that sequence lies within Euclidean distance O(1/t) of μ. The error of a solution to Sampling Problem is defined to be the distance between the empirical mean of the first t samples and the original mean μ. The O(1/t) error bound suppresses the dependence on d and Χ. In this thesis, we study the best dependence on d and |Χ| that can be achieved for the error in Sampling Problem. Known analysis of the Herding algorithm give an error bound that depends on geometric properties of Χ but, even under favorable conditions, this bound depends linearly on d. We first show that any algorithm for the Sampling Problem must have error Ω(√d/t). Afterward, we present a new polynomial-time algorithm that solves the Sampling Problem with error O(√d log^2.5|Χ|/t) assuming that Χ is finite. This implies that our algorithm is optimal to within logarithmic factors. Finally, we prove that the actual error of the Herding Algorithm is strictly worse than the error of our algorithm if we measure the error in the infinity-norm. Our algorithm is randomized and based on recent algorithmic results in discrepancy theory. We implement our algorithm and other potential solutions for the Sampling Problem and evaluate them on various inputs.<br>Science, Faculty of<br>Computer Science, Department of<br>Graduate
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Hudson, Yawen. "Investor sentiment and herding : an empirical study of UK investor sentiment and herding behaviour." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/17797.

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The objectives of this thesis are: first, to investigate the impact of investor sentiment in UK financial markets in different investment intervals through the construction of separate sentiment measures for UK investors and UK institutional investors; second, to examine institutional herding behaviour by studying UK mutual fund data; third, to explore the causal relation between institutional herding and investor sentiment. The study uses US, German and UK financial market data and investor sentiment survey data from 1st January 1996 to 30th June 2011. The impact of investor sentiment on UK equity returns is studied both in general, and more specifically by distinguishing between tranquil and financial crisis periods. It is found that UK equity returns are significantly influenced by US individual and institutional sentiment and hardly at all by local UK investor sentiment. The sentiment contagion across borders is more pronounced in the shorter investment interval. The investigation of institutional herding behaviour is conducted by examining return dispersions and the Beta dispersions of UK mutual funds. Little evidence of herding in return is found, however strong evidence of Beta herding is presented. The study also suggests that beta herding is not caused by market fundamental and macroeconomic factors, instead, it perhaps arises from investor sentiment. This is consistent between closed-end and open-ended funds. The relation between institutional herding and investor sentiment is investigated by examining the measures of herding against the measures of investor sentiment in the UK and US. It suggests that UK institutional herding is influenced by investor sentiment, and UK institutional sentiment has a greater impact as compared to UK market sentiment. Open-end fund managers are more likely to be affected by individual investor sentiment, whereas closed-end fund managers herd on institutional sentiment.
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Arnott, Elizabeth. "Wastage in Livestock Herding Dogs." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18095.

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Working dogs contribute to many human endeavours. However, minimal research exists into Australia’s largest group of working dogs – the livestock herding dog. This knowledge gap exposes the sector to the risks of sub-optimal efficiency, compromised productivity and unacceptable animal welfare outcomes. This thesis aims to address this void by characterising the problem of livestock herding dog wastage and contributing to the incremental process of improving management, selection and breeding practices. Data from a questionnaire completed by 812 livestock herding dog owners on 4,027 dogs revealed that livestock working dogs typically provide a lifelong working contribution valued at approximately A$40,000, representing a 5.2-fold return on investment. At least 20% of livestock herding dogs are culled prematurely from work. Behavioural causes were cited for 89% of these failures. Management and owner characteristics associated with failure rates included; acquisition practices, housing methods, training approach, exercise frequency and owner personality and attitude to investment in their dog. To identify traits important to success, a selective sweep analysis comparing the genomic haplotype architecture of working and show Kelpies was undertaken. In the working Kelpie, a selective sweep spanning three megabases on chromosome 3 was identified in the region of genes related to fear-memory formation and pain perception. The Herding Dog Assessment Form - Personality (HDAF-P) was devised to collect behavioural data on herding dogs. Application of the HDAF-P to 261 working Kelpies provided a database of behavioural scores for 17 traits salient to working ability with those correlated most strongly to the owner’s assessment of overall ability being revealed as; initiative (T = 0.42, p < 0.001), intelligence (T = 0.38, p < 0.001), persistence (T = 0.38, p < 0.001), confidence (T=0.37, p < 0.001) and calmness (T=0.32, p < 0.001).
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Boortz, Christopher [Verfasser]. "Herding in Financial Markets / Christopher Boortz." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1105472345/34.

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Iannino, Maria Chiara. "Essays on stock splits and herding." Thesis, Queen Mary, University of London, 2011. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1265.

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This thesis consists in an analysis of stock splits, and their relationship with dispersion of beliefs and herding. Chapter 1 introduces the topics that I tackle throughout the thesis. In particular, I motivate the interest in herding and stock splits presenting the unifying interpretation line among each chapter. Chapter 2 proposes a literature review on stock splits, focusing on the explanations that the theoretical literature suggests and the empirical evidence of the market reaction. Chapter 3 reports the results of an empirical analysis around the time of a stock split on the relation between the dispersion of beliefs among investors and the market reaction and future performance of the splitting company. We provide empirical results on a sample of US splits which occurred from 1993 to 2004. They show that, at the time around the announcement of a split, the distribution of the analysts forecasts changes in mean and dispersion. Moreover, an event study shows that the di¤erences of opinion have an impact on the future performance of the splitting firms and on the motivations behind the event. Chapter 4 focuses on a literature review of herding, and in particular on the empirical investigation of imitative behavior among institu- tional investors. Chapter 5 examines the relation between herding and stock splits. By herding we mean the abnormal correlation of trades among insti- tutional investors, according to the methodology developed by Sias (2004). We use data on the buying and selling activity of US insti- tutional investors, from 1994 to 2005. The results show a significant level of convergence in the overall market, both for splitting and non- splitting companies. We decompose this effect into the contributions of several types of herding. We observe the significant impact of informational cascades on the splitting stocks sample, while reputational herding and characteristic preference have a relevant impact on the non-splitting sample. The evidence of informational content in the split event is confirmed by the stabilizing effect of herding we find in the future returns of splitting companies. Chapter 6 concludes, summarizing the main results and contributions of the thesis.
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Sonaer, Gokhan. "Two Essays on Mutual Fund Herding." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/27663.

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This dissertation consists of two chapters. First chapter examines whether herding by actively managed equity funds affects their performance. For this purpose, first the effect of herding on stock returns is reexamined and evidence is found that, during the herding quarter, stocks bought intensely by herds outperform stocks sold intensely by herds. Controlling for subsequent quarter herding, this performance difference reverses, an indication that herding drives prices away from their fundamental values. It is also shown that herding funds benefit from this activity during the quarter in which they herd. The evidence is provided that herded stocks positively contribute to the herding fundsâ trade portfolio returns in the following quarter, but no association is found between the extent to which funds herd and their holding-based and subsequent quarter net returns. Introducing the concept of leader and follower funds this study shows that the subsequent quarter performance of funds that lead the herd is superior to that of follower funds. However, because leader and follower funds do not strongly retain their status overtime, they exhibit similar long-run performances. Second chapter examines whether mutual funds herd in industries and the extent to which such herding impacts industry valuations and fund performance. Using two herding measures proposed by Lakonishok, Shleifer, and Vishny (1992) and Sias (2004) it is documented that mutual funds herd in industries beyond what would be expected by chance. It is shown that industry herding is not driven by investor flows and that it is not a manifestation of individual stock herding. The evidence suggests that, during the herding quarter(s), industries that experience strong buy herding by mutual funds outperform industries that experience strong sell herding. Industries that are subjected to strong herding by mutual funds exhibit no return reversals indicating that this activity does not destabilize industry values. Using a modified Grinblatt, Titman and Wermersâ (1995) fund herding measure that quantifies the degree to which a fund joins the herd during a given quarter, no compelling evidence is found that industry herding affects the subsequent performance of herding funds.<br>Ph. D.
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Frosteby, Martin, and Silviu Iliesiu. "Does herding among Swedish institutional investors stabilize or destabilize stock prices?" Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-298134.

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Empirical findings on herding behavior among institutional investors suggest that those market participants speed up the price adjustment to new information and as such stabilize stock prices. Other findings indicate the opposite, that institutional herds drive stock prices away from fundamental values, and thus destabilize stock prices. This study examines the effect that Swedish institutional investors have on the stock prices on the Stockholm Stock Exchange. More precisely, we analyze the relationship of institutional herding with future excess stock returns. Major findings from this paper suggest that persistent herding among Swedish institutional investors leads to future long-term return reversals, which to some extent indicates a destabilizing influence at long horizons.
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Lu, Zhenyu. "Cooperative optimal path planning for herding problems." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1028.

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Melissas, Nicolas. "Essays on herding, strategic waiting and cheaptalk." Doctoral thesis, Universite Libre de Bruxelles, 2000. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211821.

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Zhao, Jing, and 趙靜. "Cognitive limitation, herding behavior, and investment performance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/207201.

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This dissertation consists of two empirical essays about the cognitive limitation, herding behavior, and their association with investment performance. The essays utilize the detailed quotes and trades data in the Taiwan Futures Exchange with investor account identity, to study the cognitive limitation and herding behavior of the investors, and the association between the cognitive limitation, herding behavior, and the investment performance. In the first essay, I hypothesize that cognitive limitation maybe manifested in a disproportionately large volume of limit orders submitted at round-number prices if investors use these numbers as cognitive shortcuts., I find that investors with lower cognitive abilities, defined as higher limit order submission ratios at round numbers, suffer greater losses in their round-numbered and non-round-numbered limit orders, market orders, and round-trip trades. The positive correlation between cognitive ability and investment performance is monotonic and robust across futures and options markets. In addition, past trading experience helps mitigate the cognitive limitation. The second essay studies the herding behavior of investors. The second essay studies the herding behavior of investors. I find that individual investors trade in the same direction with other individual investors in the same branch of a broker. Individual investors’ tendency to herd is persistent, and it is negatively associated with their cognitive abilities and trading experience. The higher the herding tendency of an individual investor is, the worse she performs in her investments. Importantly, the negative association between herding and investment performance is driven by the orders that are traded in the same direction with other individual investors. Our results suggest that herding with other individuals imposes a direct cost to individual investors.<br>published_or_final_version<br>Economics and Finance<br>Doctoral<br>Doctor of Philosophy
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Books on the topic "Herding"

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Renna, Christine H. Herding dogs. Freehold, NJ: Kennel Club Books, 2008.

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Aghamolla, Cyrus. Essay on Analyst Herding. [New York, N.Y.?]: [publisher not identified], 2016.

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Joosten, Hans-Dirk. Mit Hirtenstab und Hütehund: Vom Hudewesen im Siegerland. Münster-Hiltrup: Landwirtschaftsverlag, 1995.

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Smith, Lones A. Informational herding and optimal experimentation. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1997.

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Doran, Joan T. Herding mice at three A.M. Tucson, Arizona: Imago Press, 2014.

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Rich, Laurie. Herding sheep in northern Utah. Bountiful, Utah: Sheepherder Woman Press, 1998.

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Fund, International Monetary, ed. Noise traders and herding behavior. Washington, D.C: International Monetary Fund, 1996.

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Feudo, John A. Herding cats: Managing volunteers for success. Washington, D.C: CASE, 2014.

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Smith, Lones A. Informational herding as experimentation dǰ ̉vu. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1996.

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John, Cage, and Kass Ray, eds. John Cage: Zen ox-herding pictures. New York, NY: George Braziller, 2009.

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Book chapters on the topic "Herding"

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Hagmann, Jürgen, Edward Chuma, Joe Ramaru, Henning Peter, Kudakwashe Murwira, Paolo Ficarelli, Hlamalani Ngwenya, and Klaus Krebs. "Herding cats." In Responding to Environmental Issues through Adaptive Collaborative Management, 135–61. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003325932-11.

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Hähnle, Reiner, Marco Scaletta, and Eduard Kamburjan. "Herding CATs." In Software Engineering and Formal Methods, 3–8. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47115-5_1.

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Vaiman, Vlad, Yvonne McNulty, and Arno Haslberger. "Herding Cats." In The Routledge Companion to Talent Management, 359–71. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781315474687-28.

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Brown, Malcolm. "Herding Cats." In Future Faith, 192–205. London: Routledge, 2024. https://doi.org/10.4324/9781003389743-17.

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Hubert Chan, T. H., Rafael Pass, and Elaine Shi. "Consensus Through Herding." In Advances in Cryptology – EUROCRYPT 2019, 720–49. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17653-2_24.

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Burghardt, Matthias. "Retail Investor Herding." In Retail Investor Sentiment and Behavior, 93–118. Wiesbaden: Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6170-9_5.

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Meena, Nand K., Jin Yang, and Adam Slowik. "Elephant Herding Optimization." In Swarm Intelligence Algorithms, 149–62. First edition. | Boca Raton : Taylor and Francis, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429422614-12.

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Bristow, Robert S. "Herding 6,000 volunteers." In The Routledge Handbook of Volunteering in Events, Sport and Tourism, 112–21. London: Routledge, 2021. http://dx.doi.org/10.4324/9780367815875-11.

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Eira, Inger Marie Gaup, Ellen Inga Turi, and Johan Mathis Turi. "Sámi Traditional Reindeer Herding Knowledge Throughout a Year: Herding Periods on Snow-Covered Ground." In Reindeer Husbandry, 67–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17625-8_4.

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AbstractSámi traditional reindeer herding knowledge is the basis decisions in time and space made by Sámi reindeer herders with emphasis on periods and cycles and related to reindeer husbandry on snow-covered land. This chapter outlines aspects of the Sámi traditional knowledge used by reindeer herders in Western Finnmark performing reindeer herding during periods with snow on the ground. We will highlight the periods from October till April, as these constitute the critical bottlenecks in the annual herding cycle. Using methods for communicating with herders and co-production of knowledge between reindeer herders and science, this chapter outlines traditional reindeer herding periods and cycles through the year focusing particularly on aspects of herding on snow-covered ground. Reindeer herding strategies and practices are highly complicated and systematic enterprises containing different types of knowledge on how the biological and gender-based behavioral aspects of reindeer and the movement of the reindeer in time and space are connected to climate, temperature, and snow metamorphism. This includes knowledge about the different seasons, cycles, and periods in a reindeer year. Reindeer herding periods and cycles contain different sub-cycles that are a part of a larger system based on the year, the lunar month and day/night, e.g., cycles related to the use of areas throughout the year; the biological cycles of reindeer, like rutting season, calving season, dropped or cast antlers and moulting fur; sexual behavioral cycles; cycles relative to climate and snow, the cycles of sexual maturity, cycles of extreme years and cycles that include reindeer herding periods throughout the year.
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"Herding." In Encyclopedia of the UN Sustainable Development Goals, 401. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-95675-6_300046.

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Conference papers on the topic "Herding"

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Nguyen, Dac Dang Khoa, Gavin Paul, and Alen Alempijevic. "Decentralized multi-phase formation control for cattle herding." In 2024 IEEE International Conference on Robotics and Automation (ICRA), 17948–53. IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611069.

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Patil, Unmesh, Jinhong Choi, and Houssam Abbas. "OUT-HERD: Opportunistic UAV Takeover for Herding Malfunctioning Drones." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2530–35. IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919974.

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Singh, Rishabh Kumar, and Debraj Chakraborty. "Planar Herding of Multiple Evaders by a Single Pursuer." In 2024 IEEE 63rd Conference on Decision and Control (CDC), 7375–80. IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886844.

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Wolf, Laura M., and Marcus Baum. "Track-to-track Association based on Deterministic Sampling using Herding." In 2024 27th International Conference on Information Fusion (FUSION), 1–6. IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706350.

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Das, Tapas, Shikha Arora, Shiju Sebastian, Seshanwita Das, Akhilesh Tiwari, and Rajesh Verma. "Behavioral Finance in Cryptocurrency Markets: Assessing Herding Behavior and Volatility." In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES), 1–6. IEEE, 2024. https://doi.org/10.1109/ic3tes62412.2024.10877507.

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Alglave, Jade, Luc Maranget, and Michael Tautschnig. "Herding cats." In PLDI '14: ACM SIGPLAN Conference on Programming Language Design and Implementation. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2594291.2594347.

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Douglas, Dora, and Melissa Foster. "HERDING CATS." In the 31st annual ACM SIGUCCS conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/947469.947492.

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Lovatt, Marlee. "Herding cats." In the 1997 ACM SIGCPR conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/268820.268874.

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Kittur, Aniket, Bryan Pendleton, and Robert E. Kraut. "Herding the cats." In the 5th International Symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1641309.1641321.

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Berny, Arnaud. "Herding Evolutionary Algorithm." In GECCO '15: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2739482.2764660.

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Reports on the topic "Herding"

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Epstein, Gils S., and Ira N. Gang. Herding, rent-seeking taxpayers, and endemic corruption. UNU-WIDER, December 2022. http://dx.doi.org/10.35188/unu-wider/2022/295-9.

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Cao, Yiming, Benjamin Enke, Armin Falk, Paola Giuliano, and Nathan Nunn. Herding, Warfare, and a Culture of Honor: Global Evidence. Cambridge, MA: National Bureau of Economic Research, September 2021. http://dx.doi.org/10.3386/w29250.

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De Mel, Stephanie, Kaivan Munshi, Soenje Reiche, and Hamid Sabourian. Herding with Heterogeneous Ability: An Application to Organ Transplantation. Cambridge, MA: National Bureau of Economic Research, October 2021. http://dx.doi.org/10.3386/w29412.

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Arora, Ashish, Sharique Hasan, and William Miles. If You Had One Shot: Scale and Herding in Innovation Experiments. Cambridge, MA: National Bureau of Economic Research, April 2025. https://doi.org/10.3386/w33682.

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Lakonishok, Josef, Andrei Shleifer, and Robert Vishny. Do Institutional Investors Destabilize Stock Prices? Evidence on Herding and Feedback Trading. Cambridge, MA: National Bureau of Economic Research, September 1991. http://dx.doi.org/10.3386/w3846.

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Valenzuela, Patricio, and Eduardo A. Cavallo. The Determinants of Corporate Risk in Emerging Markets: An Option-Adjusted Spread Analysis. Inter-American Development Bank, April 2007. http://dx.doi.org/10.18235/0010975.

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This study explores the determinants of corporate bond spreads in emerging market economies. Using a largely unexploited dataset, the paper finds that corporate bond spreads are determined by firm-specific variables, bond characteristics, macroeconomic conditions, sovereign risk, and global factors. A variance decomposition analysis shows that firm-level characteristics account for the larger share of the variance. In addition, the paper finds two asymmetries. The first is in line the sovereign ceiling lite hypothesis which states that the transfer of risk from the sovereign to the private sector is less than 1 to 1. The second is consistent with the popular notion that panics are common in emerging markets where investors are less informed and more prone to herding.
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Ahammad, Ronju, and Francisco X. Aguilar. Socio-economic indicators for the assessment of sustainability in the Swedish forest sector, and linkages with the national environmental quality objectives. SLU Future forests, Swedish University of Agricultural Sciences, 2024. http://dx.doi.org/10.54612/a.6cbejge10k.

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Sweden’s Environmental Quality Objectives (EQOs) have been adopted to help describe the environment the country wishes to achieve, and are a promise to future generations of clean air, a healthy living environment, and rich opportunities to enjoy nature. Here, we assessed selected socio-economic indicators adapted from the Montréal Process for the Conservation and Sustainable Management of Temperate and Boreal Forests (MP) to examine trends in the Swedish forest sector of direct relevance to the EQOs. We did this with the aim of raising awareness about important socio-economic dimensions related to the EQOs, and to explore the linkages between the EQOs and the forest bioeconomy. We focused on the forest sector because of its central importance to meeting the EQOs, and fundamental social and economic roles it plays in Swedish society. The MP was chosen as our guiding framework because it was developed to assess national-level sustainable forest conservation and management, thus, incorporating critical economic, environmental and social dimensions. We applied a mixed methods approach based on a literature review, analyses of national and multilateral databases, and consultation with experts to identify and interpret selected indicators. We identified forest sector socio-economic indicators relevant to the EQOs related to forest property and ownership, economic value and consumption of wood and wood products, employment, wood energy, access to greenery, per capita forest availability, and cultural values. Interpretation of national-level indicators estimated for the 2000-2020 period point to overall progress toward maintaining forest conservation and production areas and a sector that has added substantial economic value through the processing of wood and wood products. Forests are an importance source of renewable energy and increasingly support the location of non-wood energy sources through the placement of wind power mills across forested lands. Downward trends were observed in fewer forest owners, a shrinking workforce, and per capita forest area which might be explained by processes of bequeathing, higher industry efficiencies and continued population growth. Selected indicators related to production forests, wood energy, per capita protected forests and cultural importance suggest these can directly support relevant EQOs including living forests, limited climate impact, rich plant and animal life. Through exports and hiring foreign workers, the Swedish forest sector has kept a direct linkage with the consumption of wood products abroad and in supporting economic wellbeing in lesser-developed nations through wages from forestry and non-wood seasonal employment, respectively. There is limited current information on cultural aspects such as heritage values and reindeer herding. Available data suggest a declining trend in damages to cultural remains within forest felling areas. We recommend regular and periodic assessment of the cultural and conservation values for Swedish forests to strengthen the ability to assess social and ecological sustainability relevant to the EQOs.
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