Academic literature on the topic 'Market performance'
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Journal articles on the topic "Market performance"
Martin, Stephen. "Market Structure and Market Performance." Review of Industrial Organization 40, no. 2 (February 3, 2012): 87–108. http://dx.doi.org/10.1007/s11151-012-9338-8.
Full textIsmunarti, Nurbani Aulia, Bambang Sunarko, and Tohir Tohir. "ANALISIS PENILAIAN HARGA WAJAR SAHAM MENGGUNAKAN PENDEKATAN DIVIDEND DISCOUNT MODEL, PRICE EARNING RATIO DAN PRICE TO BOOK VALUE." Performance 23, no. 2 (August 10, 2017): 47. http://dx.doi.org/10.20884/1.performance.2016.23.2.277.
Full textWiedemann, Bernd, and Torsten Büssow. "Measuring Market Performance." Controlling 13, no. 4-5 (2001): 211–18. http://dx.doi.org/10.15358/0935-0381-2001-4-5-211.
Full textAYI, OS, Valentine Igbinedion, AG ABI, and Ishaku Irom. "Financial Markets Performance and Market Microstructure in Nigeria." International Journal of Economics and Management Studies 6, no. 11 (November 25, 2019): 123–33. http://dx.doi.org/10.14445/23939125/ijems-v6i11p115.
Full textKesteloot, Katrien. "Market shares and firm performance in oligopolistic markets." European Journal of Political Economy 8, no. 1 (February 1992): 57–75. http://dx.doi.org/10.1016/0176-2680(92)90058-o.
Full textMestelman, Stuart, and Douglas Welland. "Price flexibility and market performance in experimental markets." Economic Theory 4, no. 1 (January 1994): 105–29. http://dx.doi.org/10.1007/bf01211120.
Full textCosmas, Alex, Robert Love, Swapnil Rajiwade, and Marco Linz. "Market clustering and performance of U.S. OD markets." Journal of Air Transport Management 28 (May 2013): 20–25. http://dx.doi.org/10.1016/j.jairtraman.2012.12.006.
Full textRajendran, Dr T. "PERFORMANCE OF REGULATED MARKETS IN TAMIL NADU." International Journal of Research -GRANTHAALAYAH 8, no. 4 (April 29, 2020): 89–94. http://dx.doi.org/10.29121/granthaalayah.v8.i4.2020.11.
Full textHerwartz, Helmut, and Annekatrin Niebuhr. "Regional Labor Market Performance in Europe." International Regional Science Review 40, no. 3 (July 27, 2016): 270–96. http://dx.doi.org/10.1177/0160017615603577.
Full textLehmann, Hartmut, and Alexander Muravyev. "Labour market institutions and labour market performance." Economics of Transition 20, no. 2 (March 19, 2012): 235–69. http://dx.doi.org/10.1111/j.1468-0351.2012.00435.x.
Full textDissertations / Theses on the topic "Market performance"
Elshahat, Islam M. "Market Valuation of Environmental Performance." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/309.
Full textTaghian, Mehdi, and mikewood@deakin edu au. "Market fit, market orientation, and business performance: An empirical investigation." Deakin University. Deakin Business School, 2004. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20050915.135152.
Full textTaghian, Mehdi. "Market fit, market orientation, and business performance an empirical investigation /." [victoria, Australia] : Deakin University, 2004. http://tux.lib.deakin.edu.au/adt-VDU/public/adt-VDU20050915.135152/.
Full textSchmidt-Ehmcke, Jens. "Technology, firm performance and market structure." kostenfrei, 2009. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:kobv:521-opus-313.
Full textChung, WoongTae. "Outsourcing, firm performance and market exit." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3273724.
Full textGurrib, Muhammad Ikhlaas. "Behaviour and performance of key market players in the US futures markets." Curtin University of Technology, School of Economics and Finance, 2008. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=117995.
Full textAtlhought hedgers in crude oil had significant positive feedback behaviour and negative market timing skills, they would not have much of a destabilizing effect over remaining players because the mean net positions of hedgers and speculators were not far apart. While the results are statistically significant, it is suggested these could be economically significant, in that there have been no regulation on position limits at all for hedgers compared to speculators who are imposed with strict limits from the CFTC. Further, mean equations were regressed against decomposed variables, to see how much of the futures returns are attributed to expected components of variables such as net positions, sentiment and information variables. While the expected components of variables are derived by ensuring there are enough ARMA (autoregressive and moving average) terms to make them statistically and economically reliable, the unexpected components of variables measure the residual on differences of the series from its mean. When decomposing net positions against returns, it was found expected net positions to be negatively related to hedgers’ returns in mostly agricultural markets. Speculators’ expected (unexpected) positions were less (more) significant in explaining actual returns, suggesting hedgers are more prone in setting an expected net position at the start of the trading month to determine actual returns rather than readjusting their net positions frequently all throughout the remaining days of the month. While it important to see how futures returns are determined by expected and unexpected values, it is also essential to see how volatility is affected as well.
In an attempt to cover three broad types of volatility measures, idiosyncratic volatility, GARCH based volatility (variance based), and PARCH based volatility (standard deviation) are used. Net positions of hedgers (expected and unexpected) tend to have less effect on idiosyncratic volatility than speculators that tended to add to volatility, reinforcing that hedgers trading activity hardly affect the volatility in their returns. This suggest they are better informed by having a better control over their risk (volatility) measures. The GARCH model showed more reliance of news of volatility from previous month in speculators’ volatility. Hedgers’ and speculators’ volatility had a tendency to decay over time except for hedgers’ volatility in Treasury bonds and coffee, and gold and S&P500 for speculators’ volatility. The PARCH model exhibited more negative components in explaining current volatility. Only in crude oil, heating oil and wheat (Chicago) were idiosyncratic volatility positively related to return, reinforcing the suggestion for stringent regulation in the heating oil market. Expected idiosyncratic volatility was lower (higher) for hedgers (speculators) as expected under portfolio theory. Markets where variance or standard deviation are smaller than those of speculators support the price insurance theory where hedging enables traders to insure against the risk of price fluctuations. Where variance or standard deviation of hedgers is greater than speculators, this suggest the motivation to use futures contracts not primarily to reduce risk, but by institutional characteristics of the futures exchanges like regulation ensuring liquidity.
Results were also supportive that there was higher fluctuations in currency and financial markets due to the higher number of contracts traded and players present. Further, the four models (GARCH normal, GARCH t, PARCH normal and PARCH t) showed returns were leptokurtic. The PARCH model, under normal distribution, produced the best forecast of one-month return in ten markets. Standard deviation and variance for both hedgers’ and speculators’ results were mixed, explained by a desire to reduce risk or other institutional characteristics like regulation ensuring liquidity. Moreover, idiosyncratic volatility failed to accurately forecast the risk (standard deviation or variance based) that provided a good forecast of one-month return. This supports not only the superiority of ARCH based models over models that assume equally weighted average of past squared residuals, but also the presence of time varying volatility in futures prices time series. The last section of the study involved a stability and events analysis, using recursive estimation methods. The trading determinant model, mean equation model , return and risk model, trading activity model and volatility models were all found to be stable following the effect of major global economic events of the 1990s. Models with risk being proxied as standard deviation showed more structural breaks than where variance was used. Overall, major macroeconomic events didn’t have any significant effect upon the large hedgers’ and speculators’ behaviour and performance over the last decade.
Khan, Aamir. "Market Orientation, Customer Selectivity and Firm Performance." Thesis, Cranfield University, 2008. http://hdl.handle.net/1826/4084.
Full textPersson, Fredrik, and Jonas Lindgren. "Diversification and Performance : The Nordic Media Market." Thesis, Jönköping University, JIBS, Business Administration, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-239.
Full textThe Nordic media market has since the end of the 1990’s experienced a number of consolidations and the market has become increasingly integrated. Some companies within the market are diversified, meaning they are involved in many different kinds of businesses, while other are focused, which implies that they are focused on one business segment.
Different research views explain different motives for diversification. The resource view explain diversification by claiming that a company having underused resources needs to profitably employ them elsewhere in order to expand. The agency view explains diversification with the agent’s different incentives compared to the principal. The market power view implies that by having more resources a company can strengthen its competitiveness. Furthermore, there may be financial and synergetic motives behind diversification.
This thesis investigates the relation diversification has with size, sales growth, financial efficiency ratios, and stability. By doing this we can explain the motives behind diversification in the Nordic media market through using existing theories and hence applying a deductive research approach. The thirty largest media companies in the Nordic media market were analyzed.
The degree of diversification had a positive relationship with the total revenue of the investigated firms. Furthermore, diversified firms on average had higher revenues than its focused counterparts. The more diversified the firms are the higher sales growth they have and diversified companies had a higher average sales growth than the focused firms. A higher degree of diversification did not increase the firms’ financial efficiency and diversified firms did not have a higher average efficiency. However, one of the measured ratios, ROA, was higher for focused firms. Based on knowledge gained from portfolio theory we believed, before conducting the statistical analyses, that a higher degree of diversification would stabilize the cash flows for the investigated companies. However, no statistical evidence was found supporting that a higher degree of diversification would improve cash flow stability.
Liang, Jia-Wen. "Relative performance evaluation and product market competition /." view abstract or download file of text, 2002. http://wwwlib.umi.com/cr/uoregon/fullcit?p3061955.
Full textTypescript. Includes vita and abstract. Includes bibliographical references (leaves 75-77). Also available for download via the World Wide Web; free to University of Oregon users.
Mikhalchenko, Valentina. "Macroeconomic volatility effect on labour market performance." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687336.
Full textBooks on the topic "Market performance"
Dessalegn, Gebremeskel. Market structure, conduct, and performance: Constraints on performance of Ethiopian grain markets. Addis Ababa: Grain Market Research Project, Ministry of Economic Development and Cooperation, 1998.
Find full textProcess Plant EDC. Marketing Group. International market performance: Executive summary. London: National Economic Development Office, 1986.
Find full text1962-, Dahlquist Julie R., ed. Technical market indicators: Analysis & performance. New York: Wiley, 1999.
Find full textHolstrom, Bengt. Market liquidity and performance monitoring. [New Haven, CT]: Yale School of Organization and Management, 1992.
Find full textTachibanaki, Toshiaki, ed. Labour Market and Economic Performance. London: Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1007/978-1-349-23612-1.
Full textKane, Alex. Performance evaluation of market timers. Cambridge, MA: National Bureau of Economic Research, 1988.
Find full textBrooks, R. China's labor market performance and challenges. Washington, D.C: International Monetary Fund, Asia and Pacific Dept., 2003.
Find full textNickell, Stephen. Labour market institutions and economic performance. Oxford: Institute of Economics and Statistics, University of Oxford, 1997.
Find full textAbraham, Robert C. Market forecasts: Performance (enterprise) tape drives. [Ojai, Calif.]: Freeman Reports, 2004.
Find full textRamey, Garey. Product quality signaling and market performance. Stanford, Calif: Institute for Mathematical Studies in the Social Sciences, Stanford University, 1987.
Find full textBook chapters on the topic "Market performance"
Lambin, Jean-Jacques, and Isabelle Schuiling. "Measuring Marketing Performance." In Market-Driven Management, 535–49. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-0-230-36312-0_20.
Full textLópez-Fernández, Andrée Marie. "Performance Management." In Business Leadership and Market Competitiveness, 49–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03347-7_3.
Full textGlabadanidis, Paskalis. "Investment Performance." In Market Timing and Moving Averages, 5–29. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137359834_2.
Full textGlabadanidis, Paskalis. "Performance Drivers." In Market Timing and Moving Averages, 31–49. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137359834_3.
Full textGlabadanidis, Paskalis. "Performance Sensitivity." In Market Timing and Moving Averages, 51–155. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137359834_4.
Full textAudretsch, David B., and Talat Mahmood. "The Post-Entry Performance of New Firms." In Market Evolution, 245–55. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8428-9_14.
Full textYun, Liang, and Alan Bliault. "HPMV Market and Future." In High Performance Marine Vessels, 287–321. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-0869-7_8.
Full textBrown, Charles. "Pay and Performance." In Labour Market and Economic Performance, 216–50. London: Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1007/978-1-349-23612-1_8.
Full textMayes, David, Wolfgang Hager, Arthur Knight, and Wolfgang Streeck. "Performance and Distribution." In Public Interest and Market Pressures, 47–97. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-22744-0_3.
Full textNickson, Andrew, and Richard Franceys. "Explanations of Performance and Reform Responses." In Tapping the Market, 33–49. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9781403990129_3.
Full textConference papers on the topic "Market performance"
Abbasy, Alireza, Reinier van der Veen, and Rudi Hakvoort. "Possible effects of balancing market integration on performance of the individual markets." In 2011 European Energy Market (EEM). IEEE, 2011. http://dx.doi.org/10.1109/eem.2011.5953083.
Full textKvietkauskienė, Alina, and Raimonda Martinkutė-Kaulienė. "Performance Evaluation of Stock Markets." In Contemporary Issues in Business, Management and Education. Vilnius Gediminas Technical University, 2017. http://dx.doi.org/10.3846/cbme.2017.071.
Full textVyšniauskas, Povilas, and Viktorija Stasytytė. "The Analysis of Mutual Funds’ Performance in Lithuanian Financial Market." In Contemporary Issues in Business, Management and Education. Vilnius Gediminas Technical University, 2017. http://dx.doi.org/10.3846/cbme.2017.063.
Full textUsmani, Mehak, Mansoor Ebrahim, Syed Hasan Adil, and Kamran Raza. "Predicting Market Performance with Hybrid Model." In 2018 3rd International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST). IEEE, 2018. http://dx.doi.org/10.1109/iceest.2018.8643327.
Full textBhadra, Dipasis. "Air Traffic Performance by Market Segments." In AIAA 4th Aviation Technology, Integration and Operations (ATIO) Forum. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-6495.
Full textXiaoyu, Wang, and Zhang Wenmin. "Market orientations, 3PLs synergies and performance." In 2010 2nd IEEE International Conference on Information Management and Engineering. IEEE, 2010. http://dx.doi.org/10.1109/icime.2010.5477502.
Full textShan, Hongmei, Ying Li, Jing Shi, and Chenjing Yao. "Market Structure, Technical Efficiency and Performance." In ICMSS 2020: 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3380625.3380626.
Full textKyung, Jong-soo, Byung-woon Kim, and Dong-hee Lee. "A Comparative Analysis on Market Structure-Market Performance Model by Growth Stages in Global Mobile Market." In 2006 Technology Management for the Global Future - PICMET 2006 Conference. IEEE, 2006. http://dx.doi.org/10.1109/picmet.2006.296751.
Full textDemchenko, Yuri, Reggie Cushing, Wouter Los, Paola Grosso, Cees de Laat, and Leon Gommans. "Open Data Market Architecture and Functional Components." In 2019 International Conference on High Performance Computing & Simulation (HPCS). IEEE, 2019. http://dx.doi.org/10.1109/hpcs48598.2019.9188195.
Full text"Rambus bringing invention to market." In 2013 IEEE 22nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS). IEEE, 2013. http://dx.doi.org/10.1109/epeps.2013.6703449.
Full textReports on the topic "Market performance"
Kane, Alex, and Stephen Gary Marks. Performance Evaluation of Market Timers. Cambridge, MA: National Bureau of Economic Research, July 1988. http://dx.doi.org/10.3386/w2640.
Full textNiederle, Muriel, and Alvin Roth. Market Culture: How Norms Governing Exploding Offers Affect Market Performance. Cambridge, MA: National Bureau of Economic Research, February 2004. http://dx.doi.org/10.3386/w10256.
Full textLin, Dajun, Randall Lutter, and Christopher Ruhm. Cognitive Performance and Labor Market Outcomes. Cambridge, MA: National Bureau of Economic Research, July 2016. http://dx.doi.org/10.3386/w22470.
Full textDe Loecker, Jan, and Pinelopi Koujianou Goldberg. Firm Performance in a Global Market. Cambridge, MA: National Bureau of Economic Research, August 2013. http://dx.doi.org/10.3386/w19308.
Full textDavis, Steven, and John Haltiwanger. Labor Market Fluidity and Economic Performance. Cambridge, MA: National Bureau of Economic Research, September 2014. http://dx.doi.org/10.3386/w20479.
Full textFreeman, Richard. Labor Market Institutions, Constraints, and Performance. Cambridge, MA: National Bureau of Economic Research, April 1988. http://dx.doi.org/10.3386/w2560.
Full textGoda, Gopi Shah, John Shoven, and Sita Nataraj Slavov. Does Stock Market Performance Influence Retirement Intentions? Cambridge, MA: National Bureau of Economic Research, July 2010. http://dx.doi.org/10.3386/w16211.
Full textFreeman, Richard. Labour Market Institutions Without Blinders: The Debate over Flexibility and Labour Market Performance. Cambridge, MA: National Bureau of Economic Research, May 2005. http://dx.doi.org/10.3386/w11286.
Full textMacLeod, W. Bentley. Great Expectations: Law, Employment Contracts, and Labor Market Performance. Cambridge, MA: National Bureau of Economic Research, June 2010. http://dx.doi.org/10.3386/w16048.
Full textDirks, J. A., J. E. Dagle, J. G. DeSteese, H. D. Huber, S. A. Smith, J. W. Currie, S. B. Merrick, and T. A. Williams. High-temperature superconducting transformer performance, cost, and market evaluation. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10116074.
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