Finance Theory and Asset Pricing.

The present article undertakes a critical review of the new book of Jean Tirole, the winner of the 2014 Nobel Prize in Economics, “The theory of cor- porate finance”, which has recently been published in Russian. The book makes a real contribution to the profession by summarizing the whole field of corporate finance and bringing together a big body of research developed over the last thirty years. By simplifying modeling, using unified analytical apparatus, undertaking reinterpretation of many previously received results, and structuring the material in original way Tirole achieves a necessary unity and simplicity in exposition of extremely heterogeneous theoretical and empirical material. The book integrates the new institutional economic theory into classical corporate finance theory and by doing so contributes to making a new type of textbook, which is quite on time and is likely to become essential reading for all graduate students in corporate finance and microeconomics and for everyone interested in these disciplines.

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Freedom Indices and Capital Asset Pricing Model: Some Malaysian Evidence

International Journal of Management, Finance and Accounting ◽

10.33093/ijomfa.2020.1.1.1 ◽

2020 ◽

Vol 1 (1) ◽

pp. 1-21

Author(s):

Ying Tay Lee ◽

Devinaga Rasiah ◽

Ming Ming Lai

Keyword(s):

Human Rights ◽

Asset Pricing ◽

Stock Returns ◽

Firm Size ◽

Explanatory Power ◽

Least Square ◽

Press Freedom ◽

Capital Asset Pricing ◽

Capital Asset ◽

Cross Sectional

Human rights and fundamental freedoms such as economic, political, and press freedoms vary widely from country to country. It creates opportunity and risk in investment decisions. Thus, this study is carried out to examine if the explanatory power of the model for capital asset pricing could be improved when these human rights movement indices are included in the model. The sample for this study comprises of 495 stocks listed in Bursa Malaysia, covering the sampling period from 2003 to 2013. The model applied in this study employed the pooled ordinary least square regression estimation. In addition, the robustness of the model is tested by using firm size as a controlled variable. The findings show that market beta as well as the economic and press freedom indices could explain the cross-sectional stock returns of the Malaysian stock market. By controlling the firm size, it adds marginally to the explanation of the extended CAP model which incorporated economic, political, and press freedom indices.

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Machine Learning Asset Pricing Factors in an Emerging Stock Market

Journal of Accounting and Finance ◽

10.33423/jaf.v20i5.3193 ◽

2020 ◽

Vol 20 (5) ◽

Keyword(s):

Machine Learning ◽

Asset Pricing ◽

Stock Market ◽

Pricing Factors

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Risk Factors of Collateralized Loan Obligations and Corporate Bonds

Zeitschrift für Bankrecht und Bankwirtschaft ◽

10.15375/zbb-2020-0604 ◽

2020 ◽

Vol 32 (6) ◽

pp. 347-355

Author(s):

Mark Wahrenburg ◽

Andreas Barth ◽

Mohammad Izadi ◽

Anas Rahhal

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Asset Pricing ◽

Systemic Risk ◽

Corporate Bonds ◽

Risk Exposure ◽

Expected Returns ◽

Yield Spreads ◽

Pricing Factors ◽

Return Difference

AbstractStructured products like collateralized loan obligations (CLOs) tend to offer significantly higher yield spreads than corporate bonds (CBs) with the same rating. At the same time, empirical evidence does not indicate that this higher yield is reduced by higher default losses of CLOs. The evidence thus suggests that CLOs offer higher expected returns compared to CB with similar credit risk. This study aims to analyze whether this return difference is captured by asset pricing factors. We show that market risk is the predominant risk factor for both CBs and CLOs. CLO investors, however, additionally demand a premium for their risk exposure towards systemic risk. This premium is inversely related to the rating class of the CLO.

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