Academic literature on the topic 'Diversification model'
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Journal articles on the topic "Diversification model"
Sohl, Timo, and Govert Vroom. "Organizational Impediments to Business Model Diversification." Academy of Management Proceedings 2016, no. 1 (January 2016): 11312. http://dx.doi.org/10.5465/ambpp.2016.11312abstract.
Full textStraub, Timothy J., and Olga Zhaxybayeva. "A null model for microbial diversification." Proceedings of the National Academy of Sciences 114, no. 27 (June 19, 2017): E5414—E5423. http://dx.doi.org/10.1073/pnas.1619993114.
Full textConybeare, John A. C. "A Portfolio Diversification Model of Alliances." Journal of Conflict Resolution 36, no. 1 (March 1992): 53–85. http://dx.doi.org/10.1177/0022002792036001003.
Full textWimalasiri, Eranga M., Ebrahim Jahanshiri, Vimbayi Chimonyo, Sayed N. Azam-Ali, and Peter J. Gregory. "Crop model ideotyping for agricultural diversification." MethodsX 8 (2021): 101420. http://dx.doi.org/10.1016/j.mex.2021.101420.
Full textZhang, Hua, Gongming Qian, Lee Li, and Zhengming Qian. "Intra- and inter-regional expansion: a nonlinear model." Management Decision 57, no. 7 (July 8, 2019): 1554–66. http://dx.doi.org/10.1108/md-04-2017-0359.
Full textHroznyi, Ihor, Oleh Kuzmak, Olena Kuzmak, and Olha Rusinova. "Modeling of diversification of foreign economic interactions." Problems and Perspectives in Management 16, no. 1 (February 22, 2018): 155–65. http://dx.doi.org/10.21511/ppm.16(1).2018.15.
Full textGanzarain, Jaione, and Nekane Errasti. "Three stage maturity model in SME’s toward industry 4.0." Journal of Industrial Engineering and Management 9, no. 5 (December 20, 2016): 1119. http://dx.doi.org/10.3926/jiem.2073.
Full textGriswold, Cortland K. "Epistasis can accelerate adaptive diversification in haploid asexual populations." Proceedings of the Royal Society B: Biological Sciences 282, no. 1802 (March 7, 2015): 20142648. http://dx.doi.org/10.1098/rspb.2014.2648.
Full textHautmann, Michael. "Diversification and diversity partitioning." Paleobiology 40, no. 2 (2014): 162–76. http://dx.doi.org/10.1666/13041.
Full textKoren, Miklós, and Silvana Tenreyro. "Technological Diversification." American Economic Review 103, no. 1 (February 1, 2013): 378–414. http://dx.doi.org/10.1257/aer.103.1.378.
Full textDissertations / Theses on the topic "Diversification model"
Ahame, Edmund. "Statistical model for risk diversification in renewable energy." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1008399.
Full textSydney, Roberta G. (Robert Gail). "Diversification within the real estate development industry : an elderly housing model." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/77696.
Full textGoldberg, Caroline, and Petter Katz. "Towards a Model for Predicting Related Diversification Outcomes : Merging Views on Synergy." Thesis, Uppsala University, Department of Business Studies, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8807.
Full textBusinesses carrying out related diversification moves with the objective to gain synergy effects have been a frequently occurring phenomenon since the midst of the past century. Plenty of models have been constructed, mainly using external data, in order to predict the outcome of these moves, but a high degree of contradictory results in empiric testing shows that current models are insufficient. Our objective is to present a model which also takes into account the internal data presented by the line of research called horizontal strategies, with the aim of moving towards a more accurate explanatory model for related diversification. This is a study of literature which resulted in a model which may be used for approximations as a strategic planning device. Our main conclusions are that further empirical testing, mainly regarding the behaviour of costs for implementing interrelationships, is necessary in order to create an accurate, explanatory model for predicting the outcome of related diversification.
Bohlandt, Florian Martin. "Single manager hedge funds - aspects of classification and diversification." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85859.
Full textA persistent problem for hedge fund researchers presents itself in the form of inconsistent and diverse style classifications within and across database providers. For this paper, single-manager hedge funds from the Hedge Fund Research (HFR) and Hedgefund.Net (HFN) databases were classified on the basis of a common factor, extracted using the factor axis methodology. It was assumed that the returns of all sample hedge funds are attributable to a common factor that is shared across hedge funds within one classification, and a specific factor that is unique to a particular hedge fund. In contrast to earlier research and the application of principal component analysis, factor axis has sought to determine how much of the covariance in the dataset is due to common factors (communality). Factor axis largely ignores the diagonal elements of the covariance matrix and orthogonal factor rotation maximises the covariance between hedge fund return series. In an iterative framework, common factors were extracted until all return series were described by one common and one specific factor. Prior to factor extraction, the series was tested for autoregressive moving-average processes and the residuals of such models were used in further analysis to improve upon squared correlations as initial factor estimates. The methodology was applied to 120 ten-year rolling estimation windows in the July 1990 to June 2010 timeframe. The results indicate that the number of distinct style classifications is reduced in comparison to the arbitrary self-selected classifications of the databases. Single manager hedge funds were grouped in portfolios on the basis of the common factor they share. In contrast to other classification methodologies, these common factor portfolios (CFPs) assume that some unspecified individual component of the hedge fund constituents’ returns is diversified away and that single manager hedge funds should be classified according to their common return components. From the CFPs of single manager hedge funds, pure style indices were created to be entered in a multivariate autoregressive framework. For each style index, a Vector Error Correction model (VECM) was estimated to determine the short-term as well as co-integrating relationship of the hedge fund series with the index level series of a stock, bond and commodity proxy. It was postulated that a) in a well-diversified portfolio, the current level of the hedge fund index is independent of the lagged observations from the other asset indices; and b) if the assumptions of the Efficient Market Hypothesis (EMH) hold, it is expected that the predictive power of the model will be low. The analysis was conducted for the July 2000 - June 2010 period. Impulse response tests and variance decomposition revealed that changes in hedge fund index levels are partially induced by changes in the stock, bond and currency markets. Investors are therefore cautioned not to overemphasise the diversification benefits of hedge fund investments. Commodity trading advisors (CTAs) / managed futures, on the other hand, deliver diversification benefits when integrated with an existing portfolio. The results indicated that single manager hedge funds can be reliably classified using the principal factor axis methodology. Continuously re-balanced pure style index representations of these classifications could be used in further analysis. Extensive multivariate analysis revealed that CTAs and macro hedge funds offer superior diversification benefits in the context of existing portfolios. The empirical results are of interest not only to academic researchers, but also practitioners seeking to replicate the methodologies presented.
Toussaint, Emmanuel FA. "Insects as a model to puzzle out mechanisms of lineage diversification in the Indomalayan / Australasian archipelago." Diss., Ludwig-Maximilians-Universität München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:19-177872.
Full textSoummane, Salaheddine. "Oil rent and diversification facing climate challenge : The case of Saudi ArabiaRente pétrolière et diversification face au défi climatique : cas de l'Arabie Saoudite." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLA012.
Full textThe increasing call for implementing a global and ambitious climate policy is expected to deteriorate economic outlook of oil-dependent countries. Our research work investigates the impact of this global low-carbon transition and the potential mitigation strategies for the largest oil exporter: The Kingdom of Saudi Arabia (KSA). We propose an application using an integrated economy-energy-environment modelling framework taking into account salient features of the Saudi economy such as the currency peg and the regulated domestic energy prices.First, using an aggregated representation of the KSA economy, we show that a weaker oil price re-sulting from the global low-carbon transition is associated with a marginally lower growth, large trade surplus accumulation loss, and higher unemployment for the KSA. We analyse what scope the KSA has to mitigate climate policy impacts. We reveal that aligning domestic energy prices with international references and achieving energy efficiency gains increases economic efficiency while improving public budget prospects. This modelling framework allows to investigate scenarios while controlling the modelling macroeconomic specifications.We refine these outlooks in a mulstisector framework that further allows investigating diversifica-tion opportunities within the Saudi Intended Nationally Determined Contribution (INDC) and its Vision 2030 program. We conclude that economic diversification into non energy-intensive sectors (manufacture, tourism, and financial services) through increasing exports and import substitution, in addition to targeting fiscal adjustments of the corporate tax, provide a positive outlook compared with a continuous expansion of energy-intensive activities (minerals, petrochemical, and cement). Indeed, we show that diversification in non-energy intensive sector generates higher growth, and lower unemployment. In addition, under our designed economic diversification plan, the KSA ex-ceeds its climate pledges in terms of targeted CO2 abatement. Nevertheless, the continuous expan-sion of energy-intensive industries is associated with a better outlook for the public debt since the government derives higher revenues from its participation in energy-intensive industries. Finally, we conclude that in our two scenarios, the KSA only partially succeeds in its transition toward a less oil-dependent economy as part of the Vision 2030 program, suggesting that further reforms are to be considered.This thesis contributes to the literature on climate policy implementation and associated economic consequences for fossil-fuel exporters. It provides insights on economic reforms as mitigation strate-gies and could be thus adapted to cover additional countries and fuels
Hjelström, Tomas. "The closed-end investment company premium puzzle : model development and empirical tests on Swedish and British data /." Stockholm : Economic Research Institute, Stockholm School of Economics [Ekonomiska forskningsinstitutet vid Handelshögskolan i Stockholm] (EFI), 2007. http://www2.hhs.se/EFI/summary/723.htm.
Full textPai, Chih-Wen. "Determinants of the New Entry of HMOs into A Medicare Risk Contract: A Resource Dependence-Diversification Model." VCU Scholars Compass, 1996. https://scholarscompass.vcu.edu/etd/4946.
Full textWerneck, Fernanda. "Diversification and Conservation in the South American Dry Biomes: Distribution Modeling and Multilocus Lizard Phylogeography." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3308.
Full textMaliet, Odile. "Exploring heterogeneity in diversification patterns across the tree of life using probabilistic models." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS081.
Full textIn this PhD thesis, I present different approaches based on probabilistic models for quantifying and explaining heterogeneity in the diversification process across the tree of life, all in the probabilistic modeling framework. In the first chapter, we focus on the general shape of phylogenetic trees, and propose a new metric for the quantification of the age-richness relationship of the subclades within a tree. The study of this metric in a dataset of empirical phylogenies shows that they diverge from the expectation under an homogeneous speciation model, possibly because of within-clade speciation rates variations. In the second chapter of the thesis, I focus on a finer scale description of diversification rates variations, and introduce a new method to estimate lineage-specific diversification rates within a phylogeny. Compared to previously existing methods that aim at identifying a few diversification rate shifts with large effect, ours propose a more gradual view of diversification rate evolution. We apply our approach to a dataset of empirical phylogenies, and show that Intra-clade variations accounts a large part of the rate variations in the whole dataset, suggesting suggest that models with many gradual changes may be more appropriate than models with few punctuated shifts for describing the evolution of diversification rates. Finally, the last chapter considers more directly one of the possible cause of variation in diversification rates, which is the presence of inter-species ecological interaction. We build an eco-evolutionary model for the emergence of mutualistic, antagonistic and neutral bipartite interaction communities, and study it prediction on species and trait diversity, as well as on several key network structure metrics. Our model generates realistic network structures, antagonistic communities being more modular and less nested than mutualistic ones. We find that antagonistic interactions foster both species and trait diversity, while mutualistic interactions generate strong stabilizing selection, with a negative impact on both diversity measures
Books on the topic "Diversification model"
Leibowitz, Martin L. The endowment model of investing: Return, risk, and diversification. Hoboken, N.J: John Wiley & Sons, 2010.
Find full textLeibowitz, Martin L. The endowment model of investing: Return, risk, and diversification. Hoboken, N.J: John Wiley & Sons, 2010.
Find full text1978-, Bova Anthony, and Hammond P. Brett, eds. The endowment model of investing: Return, risk, and diversification. Hoboken, N.J: John Wiley & Sons, 2010.
Find full textSinha, Deepak K. Correlated returns and the pattern of diversification: A spatial model. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1990.
Find full textW, Johnson Mark. Seizing the white space: Business model innovation for growth and renewal. Boston, Mass: Harvard Business Press, 2010.
Find full textJohnson, Mark W. Seizing the white space: Growth and renewal through business model innovation. Boston, Mass: Harvard Business Press, 2010.
Find full textCasson, Mark. Internationalisation as a learning process: A model of corporate growth and geographical diversification. Reading: University of Reading. Department of Economics, 1993.
Find full textCasson, Mark. Internationalisation as a learning process: A model of corporate growth and geographical diversification. Reading: University of Reading, 1993.
Find full textCasson, Mark. Internationalisation as a learning process: A model of corporate growth and geographical diversification. Reading, England: University of Reading, Dept. of Economics, 1993.
Find full textSeizing the white space: Business model innovation for growth and renewal. Boston, Mass: Harvard Business Press, 2010.
Find full textBook chapters on the topic "Diversification model"
Mishrif, Ashraf, and Harun Kapetanovic. "Dubai’s Model of Economic Diversification." In Economic Diversification in the Gulf Region, Volume II, 89–111. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5786-1_5.
Full textPils, Frithjof. "A Two-Factor Model of Operational Relatedness and Strategic Relatedness." In Diversification, Relatedness, and Performance, 107–43. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8181-3_4.
Full textWinson, Anthony. "Diversification beyond the Agro-export Model." In Coffee and Democracy in Modern Costa Rica, 146–54. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-10424-6_8.
Full textDhankar, Raj S. "Risk Diversification and Market Index Model." In India Studies in Business and Economics, 233–47. New Delhi: Springer India, 2019. http://dx.doi.org/10.1007/978-81-322-3950-5_15.
Full textMejía, Juan Felipe. "Commercial Relations Between Colombia and the European Union: An Empirical Approximation in the Light of the Gravity Model." In Export Diversification and Economic Growth, 101–19. Heidelberg: Physica-Verlag HD, 2011. http://dx.doi.org/10.1007/978-3-7908-2742-2_4.
Full textKitchell, Jennifer A., and Timothy R. Carr. "Chapter 8. Nonequilibrium Model of Diversification: Faunal Turnover Dynamics." In Phanerozoic Diversity Patterns, 277–310. Princeton: Princeton University Press, 1986. http://dx.doi.org/10.1515/9781400855056.277.
Full textBrieden, Andreas, Peter Gritzmann, and Michael Öllinger. "Supply Chain Safety: A Diversification Model Based on Clustering." In Supply Chain Safety Management, 327–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32021-7_21.
Full textYamamoto, Daisuke. "GCC Countries’ Diversification and Industrial Development: Looking Beyond the Asian Model." In Economic Diversification in the Gulf Region, Volume II, 179–212. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5786-1_8.
Full textCummings (née Deffner), Veronika. "Economic Diversification and Empowerment of Local Human Resources: Could Singapore Be a Model for the GCC Countries?" In Economic Diversification in the Gulf Region, Volume II, 241–60. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5786-1_10.
Full textLunardi, Gabriel Machado. "Representing the Filter Bubble: Towards a Model to Diversification in News." In Lecture Notes in Computer Science, 239–46. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34146-6_22.
Full textConference papers on the topic "Diversification model"
Sun, Yuemei. "Discussion on the Diversification of Economic Research Methods." In 2019 International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2019. http://dx.doi.org/10.1109/icemme49371.2019.00052.
Full textOliveira, Amanda, and Frederico Durao. "A Group Recommendation Model Using Diversification Techniques." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2021. http://dx.doi.org/10.24251/hicss.2021.326.
Full textLi, Yuanyuan, Andrii Biloshchytskyi, Sergiy Bronin, and Tamara Liashchenko. "A Conceptual Model for Diversification Strategies Choice." In 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST). IEEE, 2021. http://dx.doi.org/10.1109/sist50301.2021.9465934.
Full textWang, Jiaze, and Lin Li. "Traffic Flow Velocity Prediction Based on Real Data LSTM Model." In Vehicle Electrification and Powertrain Diversification Technology Forum Part I. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2021. http://dx.doi.org/10.4271/2021-01-7014.
Full textOnek, Tristan. "A Genetic Algorithm Model for Financial Asset Diversification." In SoutheastCon 2019. IEEE, 2019. http://dx.doi.org/10.1109/southeastcon42311.2019.9020556.
Full textPin Keong, Er, Muhammad Ehsan Rana, and Vazeerudeen Abdul Hameed. "Crop Suitability Prediction Model for Malaysian Crop Diversification." In 2022 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2022. http://dx.doi.org/10.1109/dasa54658.2022.9765283.
Full textTrifonov, Vladimir A. "Model Of Engineering Products Consumption Based On Price Diversification." In International Conference «Responsible Research and Innovation. Cognitive-crcs, 2017. http://dx.doi.org/10.15405/epsbs.2017.07.02.124.
Full textZulkifli, Mohamed, Mohamed Daud, and Samat Omar. "Maximizing portfolio diversification benefit via extended mean-variance model." In 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2010). IEEE, 2010. http://dx.doi.org/10.1109/isiea.2010.5679379.
Full textYin, Xiaoshi, Zhoujun Li, Jimmy Xiangji Huang, and Xiaohua Hu. "A relevance-novelty combined model for genomics search result diversification." In 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2010. http://dx.doi.org/10.1109/bibm.2010.5706654.
Full textGhoulmié, F., M. Bartolozzi, C. P. Mellen, and T. Di Matteo. "Effects of diversification among assets in an agent-based market model." In Microelectronics, MEMS, and Nanotechnology, edited by Derek Abbott, Tomaso Aste, Murray Batchelor, Robert Dewar, Tiziana Di Matteo, and Tony Guttmann. SPIE, 2007. http://dx.doi.org/10.1117/12.758912.
Full textReports on the topic "Diversification model"
Banerjee, Onil, Martin Cicowiez, and Adela Moreda. Export Diversification Through Public Investment in Cultural Tourism: Insights from a Multi-Regional Model of Bolivia. Inter-American Development Bank, November 2019. http://dx.doi.org/10.18235/0001983.
Full textAyele, Seife, and Vianney Mutyaba. Chinese-Funded Electricity Generation in Sub-Saharan Africa and Implications for Public Debt and Transition to Renewable Energy. Institute of Development Studies (IDS), November 2021. http://dx.doi.org/10.19088/ids.2021.063.
Full textWeller, Joshua, Gulbanu Kaptan, Rajinder Bhandal, and Darren Battachery. Kitchen Life 2. Food Standards Agency, February 2022. http://dx.doi.org/10.46756/sci.fsa.wom249.
Full textKimhi, Ayal, Barry Goodwin, Ashok Mishra, Avner Ahituv, and Yoav Kislev. The dynamics of off-farm employment, farm size, and farm structure. United States Department of Agriculture, September 2006. http://dx.doi.org/10.32747/2006.7695877.bard.
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