<p>Title: Investigations on the real estate market, what are the main factors influencing the performance of the French Real Estate Investments Trusts?</p><p>Problem: In 2003, the French government implemented a new tax-exempt structure in the real estate market. Like REITs in the United States, SIICs are listed French companies that aim to improve the performance of real estate stocks on Paris Stock Exchange. The problem consists of determining the performance of the SIICs’ portfolio, identifying the major influences of economic factors and capturing financial behaviour in asset portfolio management.</p><p>Purpose: Recently, the subprime crisis has largely brought out uncertainty of financial actors in the real estate sector. In this context, we try to apprehend the performance of these specific</p><p>SIICs investment vehicles related to financial, economic and managerial influences, by quantifying their stock performance in a five-year time frame.</p><p>Methodology: A deductive approach guides our thesis to emphasize our research question. Our business strategy entails positivism and objectivism considerations and relies on a case analysis research design using the multifactor model. Besides, the data collection process is following a quantitative approach of twenty chosen French SIICs between 2003 and 2007.</p><p>Result / Conclusion: Even if the multifactor model used by the authors may be viewed as unspecified, useful results can still be extracted and analysed. The hotel & LDG sector slightly performs better than others depending on the strategy of investment and the state of economy. Long-term interest rate acts as the principal explanatory factor. Investors do not necessarily respond in favour of the general market confidence indicator.</p>

A Multifactor model is used to explain asset return and risk and its explanatory power depends on common factors that the model uses. Researchers strive to find reasonable factors to enhance multifactor model¡¦s efficiency. However, there are still some unknown factors to be discovered. Miller (2006) presents a general concept and structure of hybrid factor model. The study follows the idea of Miller (2006) and aims to build a complete flow of constructing hybrid factor model that is based on fundamental factor model and statistical factor models. We also apply the hybrid factor model to the Taiwan stock market. We assume that a fundamental factor model is already developed and therefore this study focuses on building the second stage, statistical factor model. Principal Component Analysis is used to form statistical factor and spectral decomposition is used to prepare data for principal component analysis. Those methods are applied to stocks on the Taiwan Stock Exchange in the period of January 1, 2000 to December 31, 2009. This study presents a complete construction flow of hybrid factor models and further confirms that a hybrid factor model is able to find missing factors in a developing market such as Taiwan¡¦s stock market. The study also discovers that the missing factors might be market factor and extensive electronic industry factor.

Title: Investigations on the real estate market, what are the main factors influencing the performance of the French Real Estate Investments Trusts? Problem: In 2003, the French government implemented a new tax-exempt structure in the real estate market. Like REITs in the United States, SIICs are listed French companies that aim to improve the performance of real estate stocks on Paris Stock Exchange. The problem consists of determining the performance of the SIICs’ portfolio, identifying the major influences of economic factors and capturing financial behaviour in asset portfolio management. Purpose: Recently, the subprime crisis has largely brought out uncertainty of financial actors in the real estate sector. In this context, we try to apprehend the performance of these specific SIICs investment vehicles related to financial, economic and managerial influences, by quantifying their stock performance in a five-year time frame. Methodology: A deductive approach guides our thesis to emphasize our research question. Our business strategy entails positivism and objectivism considerations and relies on a case analysis research design using the multifactor model. Besides, the data collection process is following a quantitative approach of twenty chosen French SIICs between 2003 and 2007. Result / Conclusion: Even if the multifactor model used by the authors may be viewed as unspecified, useful results can still be extracted and analysed. The hotel &amp; LDG sector slightly performs better than others depending on the strategy of investment and the state of economy. Long-term interest rate acts as the principal explanatory factor. Investors do not necessarily respond in favour of the general market confidence indicator.

Submitted by Stefano Toto (stefanototo92@gmail.com) on 2015-03-24T18:06:58Z No. of bitstreams: 1 FInal version Stefano Toto .pdf: 2666174 bytes, checksum: a92ae5ee1fd88876c05d33145bf36d74 (MD5) / Approved for entry into archive by Luana Rodrigues (luana.rodrigues@fgv.br) on 2015-03-30T13:27:41Z (GMT) No. of bitstreams: 1 FInal version Stefano Toto .pdf: 2666174 bytes, checksum: a92ae5ee1fd88876c05d33145bf36d74 (MD5) / Made available in DSpace on 2015-03-30T13:36:05Z (GMT). No. of bitstreams: 1 FInal version Stefano Toto .pdf: 2666174 bytes, checksum: a92ae5ee1fd88876c05d33145bf36d74 (MD5) Previous issue date: 2015-02-27 / This research is to be considered as an implementation of Goetzmann and Jorion (1999). In order to provide a more realistic scenario, we have implemented a Garch (1,1) approach for the residuals of returns and a multifactor model thus to better replicate the systematic risk of a market. The new simulations reveal some new aspects of emerging markets’ expected returns: the unpredictability of the emerging markets’ returns with the global factor does not depend on the year of emergence and that the unsystematic risk explains the returns of emerging markets for a much larger period of time. The results also reveal the high impact of Exchange rate, Commodities index and of the Global factor in emerging markets’ expected return.

This thesis investigates pricing-performance of two recently developed multifactor asset-pricing models with the implementation of dual-betas dependent upon prevailing market-conditions. The models included in the study are the Fama and French five-factor model and the Q-factor model by Hou, Xue and Zhang. We test the models on cross-sectional Swedish stock-market data between 2003 and 2015 from the Large-, Mid- and Small Cap-lists and their respective precursors. The models are tested in their ability to explain portfolios sorted on firm beta-values, on a twelve-year period as well as a six-year period characterized by changing market directions and high market volatility.  In our study, we support the presence of changing risk-return relationship in up and down market states by estimating separate market betas with the risk-free rate as threshold. However, we do not find the isolated and volatile period to give rise to a larger difference in the up and down market betas. We consistently find the models to have a decreasing explanatory power on the portfolios of firms with lower beta values. We also find the largest difference in the up and down market betas occurring in the low beta portfolios, suggesting that this is causing measurement problems in the models. While making the models conditional, the measurement problem with the static beta seems to be reduced for the portfolios where the difference between up and down betas differ most. In the applied context, we conclude the conditional dual beta adds explanatory power in the models when the market beta differs in up and down market states.  The insights of this thesis support the method of making the market-beta conditional as suggested by Pettengill, Sundaram &amp; Mathur (Pettengill, et al., 1995), in new multifactor models.

This study investigates the return generating process underlying the South African stock market. The investigation of the return generating process is framed within the Arbitrage Pricing Theory (APT) framework with the APT reinterpreted so as to provide a conceptual framework within which the return generating process can be investigated. In modelling the return generating process, the properties of South African stock returns are taken into consideration and an appropriate econometric framework in the form of Autoregressive Conditional Heteroscedastic (ARCH) and Generalized Autoregressive Conditional Heteroscedastic (GARCH) models is applied. Results indicate that the return generating process of South African stock returns is described by innovations in multiple risk factors representative of several risk categories. The multifactor model of the return generating process explains a substantial amount of variation in South African stock returns and the ARCH/GARCH methodology is an appropriate econometric framework for the estimation of models of the return generating process. The APT framework is successfully applied to model and investigate the return generating process of South African stock returns.

Momentum has been a persistent and robust factor in explaining excess future returns, generating great interest from investors and financial analysts. Following the financial crisis of 2008 and the Covid-19 pandemic, there have been instances of significant momentum crashes. US Equity funds are used to gain insights about the properties of momentum and its predictive ability. Momentum performance is evaluated over the period 2000 to 2023. A multifactor model is developed, using factor attribution to explain the impact on fund performance over time by factors such as risk, size, value-growth orientation and momentum. Conclusions can be made that while momentum have previously been successful in predicting future returns, particularly for growth-oriented funds, recent market situations have lead to underperformance. The multifactor model, incorporating size and value-growth orientation, suggests that momentum is not entirely responsible for the poor performance following the Covid-19 crisis. / Momentum har historiskt sett varit en framgångsrik faktor för att predicera framtida avkastning, vilket har skapat stort intresse från investerare och finansiella analytiker. Efter finanskrisen 2008 och Covid-19 pandemin har det skett signifikanta momentumkrascher. Amerikanska aktiefonder används för att undersöka egenskaperna hos momentum och dess prediktiva förmåga. Prestationen av momentum utvärderas under tidsperioden 2000 till 2023. En multifaktormodell utvecklas, som använder faktor-attribution för att förklara hur fonders avkastning påverkas över tid av faktorer såsom risk, marknadsvärde, värde/tillväxt-orientering och momentum. En slutsats dras att även fast momentum har presterat väl historiskt för att predicera framtida avkastning, särskilt för tillväxt-orienterade aktiefonder, så har den senaste tidens marknadsrörelser lett till underprestation. Multifaktormodellen, som innehåller marknadsvärde och värde/tillväxt-orientering, indikerar att momentum inte är en lika stor anledning till underavkastningen efter Covid-19 krisen.

At the current level of the world and Russian economy development industrial enterprises can get important advantages due to the effective formation and use of intangible resources which have a significant impact on the activities of these enterprises. The purpose of the thesis is to assess the impact of intangible assets on the industrial complex enterprises activities. The information and empirical base of the research was based on legislative acts and regulations governing commercial organizations and enterprises accounting of intangible assets, normative acts, monographic research, periodical materials, international accounting and reporting standards, guidelines, scientific works and publications of foreign and domestic economists, official statistic data of the intangible assets use by commercial organizations, reporting documents of the investigated industrial enterprise. Domestic and foreign literary sources analysis shows the unified approaches absence to the study of the problems of accounting and valuation of industrial enterprises intangible assets. Therefore, in the course of writing the master’s thesis the author’s definition of “intangible assets” was given, the classification of industrial enterprises intangible assets was clarified, and a multifactor model for evaluating the industrial enterprise’s activities results taking into account the influence of various factors including intangible assets considered and not accounted for was developed. This multifactor model which was tested on research enterprise will help to give not only an assessment of the degree of these factors impact, but also allow for a predictive check of changes in the results of the enterprise’s activity under various development scenarios. / При современном уровне развития мировой и российской экономики промышленные предприятия могут получить существенные преимущества за счет эффективного формирования и применения нематериальных ресурсов, которые оказывают значительное влияние на деятельность этих предприятий. Целью диссертационной работы является оценка влияния нематериальных активов на результаты деятельности предприятий промышленного комплекса. Информационно-эмпирическая база исследования основывалась на законодательных актах и положениях, регламентирующих коммерческие организации и ведение бухгалтерского учета нематериальных активов предприятиями, нормативных актах, монографических исследованиях, материалах периодической печати, международных стандартах учета и отчетности, методических рекомендациях, научных трудах и публикациях зарубежных и отечественных экономистов, официальных статистических данных об использовании нематериальных активов коммерческими субъектами, отчетных документах исследуемого промышленного предприятия. Анализ отечественных и зарубежных литературных источников показывает отсутствие единых подходов в изучении проблематики учета и оценки нематериальных активов промышленных предприятий. Поэтому в ходе написания магистерской диссертации дано авторское определение «нематериальные активы», уточнена классификация нематериальных активов промышленных предприятий, а также разработана многофакторная модель оценки результатов деятельности промышленного предприятия с учетом влияния различных факторов, в том числе учитываемых и не учитываемых в балансе нематериальных активов. Данная многофакторная модель, которая была апробирована на исследуемом предприятии, поможет дать не только оценку степени воздействия этих факторов, но также позволит провести прогнозную проверку изменения результатов деятельности предприятия при различных сценариях развития.

The impact of political and economic events on the asset pricing model described by the arbitrage pricing theory (APTM) was examined in order to establish if they had caused any changes in its specification. It was concluded that the APTM is not stationary and that it must be continuously tested before it can be used as political and economic events can change its specification. It was also found that political events had a more direct effect on the specification of the APTM, in that their effect is more immediate, than did economic events, which influenced the APTM by first influencing the economic environment in which it operated. The conventional approach that would have evaluated important political and economic events, case by case, to determine whether they affected the linear factor model (LFM), and subsequently the APTM, could not be used since no correlation was found between the pricing of a risk factor in the LFM and its subsequent pricing in the APTM. A new approach was then followed in which a correlation with a political or economic event was sought whenever a change was detected in the specification of the APTM. This was achieved by first finding the best subset LFM, chosen for producing the highest adjusted R2 , month by month, over 87 periods from 20 October1991 to 21 June 1998, using a combination of nine prespecified risk factors (five of which were proxies for economic events and one for political events). Multivariate analysis techniques were then used to establish which risk factors were priced most often during the three equal subperiods into which the 87 periods were broken up. Using the above methodology, the researcher was able to conclude that political events changed the specification of the APTM in late 1991. After the national elections in April 1994 it was found that the acceptance of South Africa into the world economic community had again changed the specification of the APTM and the two most important factors were proxies for economic events. / Business Leadership / DBL

The impact of political and economic events on the asset pricing model described by the arbitrage pricing theory (APTM) was examined in order to establish if they had caused any changes in its specification. It was concluded that the APTM is not stationary and that it must be continuously tested before it can be used as political and economic events can change its specification. It was also found that political events had a more direct effect on the specification of the APTM, in that their effect is more immediate, than did economic events, which influenced the APTM by first influencing the economic environment in which it operated. The conventional approach that would have evaluated important political and economic events, case by case, to determine whether they affected the linear factor model (LFM), and subsequently the APTM, could not be used since no correlation was found between the pricing of a risk factor in the LFM and its subsequent pricing in the APTM. A new approach was then followed in which a correlation with a political or economic event was sought whenever a change was detected in the specification of the APTM. This was achieved by first finding the best subset LFM, chosen for producing the highest adjusted R2 , month by month, over 87 periods from 20 October1991 to 21 June 1998, using a combination of nine prespecified risk factors (five of which were proxies for economic events and one for political events). Multivariate analysis techniques were then used to establish which risk factors were priced most often during the three equal subperiods into which the 87 periods were broken up. Using the above methodology, the researcher was able to conclude that political events changed the specification of the APTM in late 1991. After the national elections in April 1994 it was found that the acceptance of South Africa into the world economic community had again changed the specification of the APTM and the two most important factors were proxies for economic events. / Business Leadership / DBL