Lau Yuk Hoi. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 109-110). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Table of Contents --- p.iv / List of Notations --- p.vi / List of Propositions --- p.vii / List of Figures --- p.viii / List of Appendices --- p.x / Chapter Chapter 1. --- Introduction - The Reaction Approach --- p.1 / Chapter Chapter 2. --- Assumption for OLG Model --- p.7 / Chapter 2.1 --- Assumption A --- p.7 / Chapter Chapter 3. --- Equilibrium Conditions Without Fundamental Risk --- p.9 / Chapter 3.1 --- Price as a Weighted Average --- p.9 / Chapter 3.2 --- Determination of A and B --- p.11 / Chapter 3.2.1 --- Assumption B --- p.12 / Chapter 3.2.2 --- RE Line and NE Line --- p.13 / Chapter 3.2.3 --- Equilibrium values of A and B --- p.14 / Chapter 3.3 --- Rational Expectation on Price Variance (RV Line) --- p.16 / Chapter 3.4 --- Noisy Expectation on Price Variance (NV Line) --- p.18 / Chapter 3.4.1 --- DeLong's Model --- p.19 / Chapter 3.4.2 --- Bhushan's Model --- p.21 / Chapter 3.5 --- Change in Relative Perceived Variance --- p.23 / Chapter 3.5.1 --- General Problem of OLG Model in Noisy Trading --- p.23 / Chapter 3.5.2 --- Changes in Noise Traders' Beliefs --- p.24 / Chapter 3.5.3 --- "Relative Perceived Price Variance of n, θ" --- p.25 / Chapter 3.5.3.1 --- "Effect of Increasing θ on Price Variance, dC/dθ" --- p.26 / Chapter 3.5.3.2 --- "Effect of Increasing θ on Expected Price Level, dp/dθ" --- p.27 / Chapter Chapter 4. --- Equilibrium Conditions With Fundamental Risk --- p.31 / Chapter 4.1 --- Price as a Weighted Average --- p.32 / Chapter 4.2 --- Determination of A and B --- p.34 / Chapter 4.2.1 --- Assumption C --- p.34 / Chapter 4.2.2 --- RE Line and NE Line --- p.35 / Chapter 4.2.3 --- Equilibrium values of A and B --- p.36 / Chapter 4.3 --- Rational Expectation on return Variance (RV Line) --- p.37 / Chapter 4.4 --- Noisy Expectation on Return Variance (NV Line) --- p.40 / Chapter 4.4.1 --- De Long's Model --- p.41 / Chapter 4.4.2 --- Bhushan's Model --- p.42 / Chapter 4.5 --- Change in Relative Perceived Return Variance --- p.45 / Chapter 4.5.1 --- Specification of Noisy Expectation --- p.46 / Chapter 4.5.2 --- Relative Perceived Return Variance of n，Θ --- p.46 / Chapter 4.5.2.1 --- "Effect of Increasing Θ on Price Variance, dC/dΘ" --- p.47 / Chapter 4.5.2.2 --- "Effect of Increasing Θ on Expected Price Level, dp/dΘ" --- p.48 / Chapter 4.6 --- Relative Perceived Price Risk versus Relative Perceived Dividend Risk --- p.52 / Chapter Chapter 5. --- Conclusion and Discussion --- p.55 / Figures --- p.58 / Appendices --- p.86 / References --- p.109

Mok Ka Ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaf 31). / Abstracts in English and Chinese. / Chapter I --- Introduction --- p.1 / Chapter II --- Data Description --- p.4 / Chapter III --- Market risks for stocks --- p.6 / Chapter 1. --- Listing Location --- p.7 / Chapter 2. --- Operation Location --- p.9 / Chapter 3. --- Measurements --- p.10 / Chapter IV --- The Model --- p.13 / Chapter V --- Empirical Results --- p.16 / Chapter 1. --- Summary statistics --- p.16 / Chapter 2. --- Diagnostics Test --- p.17 / Chapter 3. --- The co-efficient --- p.18 / Chapter 4. --- Comparing the result with US dollar-denominated returns --- p.21 / Chapter VI --- Sub-period analysis --- p.26 / Chapter VII --- Market analysis --- p.29 / Chapter VIII --- Industrial analysis --- p.31 / Chapter IX --- Conclusion --- p.35 / Chapter X --- References --- p.37 / Chapter XI --- Appendix --- p.39

"August 1998" Bibliography: leaves 74-78. The relationship between the returns to a stock, and ratio of book equity to market equity of the firm, are tested for the Australian stock market, and statistically significant evidence is found in support if the :book to market effect". Several tests are performed to determine whether this return premium is the result of additional risk or market inefficiency. No evidence is found to suggest that high book-to-market stocks are associated with additional risk, and only weak evidence is found to suggest that return premium is a result of investor over-reaction. An alternative explanation IS offered, relying on the dynamic behavior of firms and the process by which investors value the stocks of these firms.

This paper probes into institutional investor¡¦s impact on Taiwan¡¦s stock market and its shareholding ratio in the relation of return. We aim to find out an effective return index of degree in order to provide another reference basis for investors. This research uses listed companies from 1999 to 2003 as sample. The analysis result shows that Taiwan has gone against the phenomenon of book-to-market and size effect in the past five years, and institutional investors¡¦ partiality is one of the reasons causing this phenomenon. The stock with high share of all kinds of institutional investors is expected to have high return in addition. In consideration of the momentum of the share of all kinds of institutional investors, we are unable to prove that the stock which has the positive momentum of share of all kinds of institutional investors will yield high return. The size factor and book-to-market ratio factor at the regular value prove whether institutional investors still have the ability to select stocks. The result proves that the group with high share of all kinds of institutional investors still has high return under the same book-to-market ratio and size factor, and proves that institutional investors indeed have better tactics in selecting stocks.

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Thesis (M.Sc.)--University of Alberta, 2009. / "Fall 2009." At head of title: University of Alberta. Title from pdf file t.p. (viewed on Dec. 4, 2009). "A thesis submitted to the Faculty of Graduate Studies and Researchin partial fulllment of the requirements for the degree of Master of Science Mathematical Finance, Department of Mathematical and Statistical Sciences" Includes bibliographical references.

Thesis (Ph. D.)--University of California, San Diego, 2001. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--University of Washington, 2001. / Vita. Includes bibliographical references (leaves 84-89).

Thesis (M. Phil.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 106-113).

In the asset-pricing framework, idiosyncratic risk is the risk that is independent of systematic risk and peculiar to one specific asset or company, it is left with no role in expected returns according to the classic finance theory since it could be completely diversified away. However, in the case investors holding under-diversified portfolios, previous theoretical studies generally demonstrate a positive relationship between idiosyncratic risk and expected returns. However, negative empirical evidences regarding the idiosyncratic risk-return tradeoff have been reported recently in the stock market of the U.S. and China, as well as in several real estate literatures. To reconcile the conflict, this thesis is dedicated to investigate the role of idiosyncratic risk in the context of real estate investment. In the theoretical exploration, an asset-pricing model with short-sales restrictions in the market and heterogeneous beliefs among investors is established. Specifically, a simplified version with only three risky assets, in which two of them are direct and indirect real estate investments, demonstrates when investors endowed with incomplete information setting and under-diversified holdings, idiosyncratic risk would play an important role in the expected returns in equilibrium. Furthermore, the comparative static analysis reveals a positive cross-sectional relationship between idiosyncratic risk and expected returns. In the empirical study, this thesis employs the Fama and French (1992) three-factor model to estimate monthly idiosyncratic volatilities of the Listed Property Companies (LPCs) in the A-share market of China, based on the daily data from May 1999 to Aug 2011. Specifically, for each LPC in each month, its idiosyncratic risk is computed as the standard deviation of the three-factor model’s daily residuals. The estimation outputs show that idiosyncratic volatility dominates the LPCs’ overall volatility during the study period, and it is features with a distinct pattern when compared to that of the U.S. REITs: the LPCs’ idiosyncratic volatilities are significantly higher and more persistent; they are less irrelevant to the firm’s market capitalization and present an evident co-movement with the broad market. Hence, this scenario reveals a special interest to further study on the cross-sectional relationship between the LPCs’ idiosyncratic risk and their expected returns. In the cross-sectional test, conditional idiosyncratic volatility forecasted by the EGARCH-GED model is employed as the proxy for expected idiosyncratic risk, as the LPCs’ lagged idiosyncratic risk is shown to be not a good estimate. Over the study period, a firm positive cross-sectional relationship between idiosyncratic risk and expected returns is documented, after controlling for various pricing factors such as firm size and book-to-market equity ratio, indicators of liquidity and momentum as well as returns reversal effect. This evidence not only confirms the prediction of previous theoretical studies and the model in this thesis, it also suggests a profitable trading strategy based on the idiosyncratic risk of the LPCs. / published_or_final_version / Real Estate and Construction / Doctoral / Doctor of Philosophy