Asset Pricing and the Role of Macroeconomic Volatility

2008 ◽  
Author(s):  
Stefano d'Addona ◽  
Christos I. Giannikos
Keyword(s):  
Asset Pricing ◽  
Macroeconomic Volatility

Asset pricing and the role of macroeconomic volatility

2013 ◽  
Vol 10 (2) ◽  
pp. 197-215 ◽  
Author(s):  
Stefano d’Addona ◽  
Christos Giannikos
Keyword(s):  
Asset Pricing ◽  
Macroeconomic Volatility

scholarly journals On the Validity of the Capital Asset Pricing Model (CAPM)

2020 ◽  
Vol 12 (4) ◽  
pp. 1
Author(s):  
M. J. Alhabeeb
Keyword(s):  
Asset Pricing ◽  
Market Risk ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Technical Tool ◽  
Expected Return ◽  
Asset Pricing Model

This study exposes the meaning and role of the Capital Asset Pricing Model (CAPM) and lays out the key elements that make it work. It shows the model’s theoretical strength and examines its applicability and validity as a technical tool to measure the expected return to the investment in stock, along with assessing the market risk associated with that investment.

scholarly journals Unemployment and Productivity in the Long Run: The Role of Macroeconomic Volatility

2015 ◽  
Vol 97 (3) ◽  
pp. 698-709 ◽  
Author(s):  
Pierpaolo Benigno ◽  
Luca Antonio Ricci ◽  
Paolo Surico
Keyword(s):  
Macroeconomic Volatility ◽  
Long Run

The diverging role of the systematic risk factors: evidence from real estate stock markets

2015 ◽  
Vol 33 (1) ◽  
pp. 81-106 ◽  
Author(s):  
Stephan Lang ◽  
Alexander Scholz
Keyword(s):  
Risk Factors ◽  
Time Series ◽  
Asset Pricing ◽  
Real Estate ◽  
Systematic Risk ◽  
Content Type ◽  
Risk Return ◽  
Systematic Risk Factors ◽  
Relationship Of

Purpose – The risk-return relationship of real estate equities is of particular interest for investors, practitioners and researchers. The purpose of this paper is to examine, in an asset pricing framework, whether the systematic risk factors play a significantly different role in explaining the returns of listed real estate companies, compared to general equities. Design/methodology/approach – Running the difference test of the Fama-French three-factor and the liquidity-augmented asset pricing model, the authors analyze the effect of the systematic risk factors related to market, size, BE/ME and liquidity in a time-series setting over the period July 1992 to June 2012. By applying the propensity score matching (PSM) algorithm, the authors bypass the “curse of dimensionality” of traditional matching techniques and identify a comparable control sample of general equities, in terms of the relevant firm characteristics of size, BE/ME and liquidity. Findings – The empirical results indicate that European real estate equity returns load significantly differently on the size, value and liquidity factor, while the influence of the market factor seems to be equivalent. In addition, the authors find an economically and statistically significant underperformance of European real estate equities, after accounting for the diverging role of systematic risk factors. Running the conditional time-series regression, the authors further reveal that these findings are predominately caused by the divergent risk-return behavior of real estate equities in economic downturns. Practical implications – Due to the diverging role of the systematic risk factors in pricing real estate equities, the authors provide evidence of potential diversification benefits for investors and portfolio managers. Originality/value – This is the first real estate asset pricing study to dissect the unique risk-return relationship of real estate equities by employing propensity score matching.

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