scholarly journals Expected Returns, Yield Spreads, and Asset Pricing Tests

2005 ◽  
Author(s):  
Murillo Campello ◽  
Long Chen ◽  
Lu Zhang
Keyword(s):  
Asset Pricing ◽  
Expected Returns ◽  
Yield Spreads ◽  
Asset Pricing Tests

scholarly journals Expected returns, yield spreads, and asset pricing tests

2008 ◽  
Vol 21 (3) ◽  
pp. 1297-1338 ◽  
Author(s):  
Murillo Campello ◽  
Long Chen ◽  
Lu Zhang
Keyword(s):  
Asset Pricing ◽  
Expected Returns ◽  
Yield Spreads ◽  
Asset Pricing Tests

Risk Factors of Collateralized Loan Obligations and Corporate Bonds

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.

Accrual Quality, Realized Returns, and Expected Returns: The Importance of Controlling for Cash Flow Shocks

2012 ◽  
Vol 87 (4) ◽  
pp. 1415-1444 ◽  
Author(s):  
Maria Ogneva
Keyword(s):  
Asset Pricing ◽  
Cash Flow ◽  
Expected Returns ◽  
Accrual Quality ◽  
Earnings Response Coefficient ◽  
The Past ◽  
Return Decomposition ◽  
Response Coefficient ◽  
Earnings Response ◽  
Asset Pricing Tests

ABSTRACT This paper develops a simple methodology based on the earnings response coefficient framework that allows decomposing realized returns into cash flow shocks and returns excluding cash flow shocks. I find that stocks with poor (good) accrual quality were on average subject to relatively lower (higher) cash flow shocks over the past 37 years. These lower (higher) cash flow shocks offset the higher (lower) expected returns of poor (good) accrual quality firms. After excluding cash flow shocks, future realized returns are negatively associated with accrual quality. The premiums pertaining to accrual quality are both statistically and economically significant in standard asset-pricing tests when cash flow shocks are excluded by firm-specific return decomposition. Overall, this paper provides evidence on the existence of a priced accrual quality risk factor, and underscores the importance of controlling for cash flow shocks in asset-pricing tests that use realized returns.

Cross-Sectional Asset Pricing Tests

2010 ◽  
Vol 2 (1) ◽  
pp. 49-74 ◽  
Author(s):  
Ravi Jagannathan ◽  
Ernst Schaumburg ◽  
Guofu Zhou
Keyword(s):  
Asset Pricing ◽  
Cross Sectional ◽  
Asset Pricing Tests

Treasury Bond Illiquidity and Global Equity Returns

2014 ◽  
Vol 49 (5-6) ◽  
pp. 1227-1253 ◽  
Author(s):  
Ruslan Goyenko ◽  
Sergei Sarkissian
Keyword(s):  
Asset Pricing ◽  
Equity Returns ◽  
Asset Valuation ◽  
Macroeconomic Shocks ◽  
Country Level ◽  
Time Period ◽  
Treasury Bond ◽  
Using Data ◽  
The Impact ◽  
Asset Pricing Tests

AbstractIn this study, using data from 46 markets and a 34-year time period, we examine the impact of the illiquidity of U.S. Treasuries on global asset valuation. We find that it predicts equity returns in both developed and emerging markets. This predictive relation remains intact after controlling for various world- and country-level variables. Asset pricing tests further reveal that bond illiquidity is a priced factor even in the presence of other conventional risks. Since the illiquidity of Treasuries is known to reflect monetary and macroeconomic shocks, our results suggest that it can be considered a proxy for aggregate worldwide risks.

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