A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
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Results 26 resources
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Do bond investors demand credit quality or liquidity? The answer is both, but at different times and for different reasons. Using data on the Euro-area government bond market, which features a unique negative correlation between credit quality and liquidity across countries, we show that the bulk of sovereign yield spreads is explained by differences in credit quality, though liquidity plays a nontrivial role, especially for low credit risk countries and during times of heightened market uncertainty. In contrast, the destination of large flows into the bond market is determined almost exclusively by liquidity. We conclude that credit quality matters for bond valuation but that, in times of market stress, investors chase liquidity, not credit quality.
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We analyze the empirical power and specification of test statistics designed to detect abnormal bond returns in corporate event studies, using monthly and daily data. We find that test statistics based on frequently used methods of calculating abnormal monthly bond returns are biased. Most methods implemented in monthly data also lack power to detect abnormal returns. We also consider unique issues arising when using the newly available daily bond data, and formulate and test methods to calculate daily abnormal bond returns. Using daily bond data significantly increases the power of the tests, relative to the monthly data. Weighting individual trades by size while eliminating noninstitutional trades from the TRACE data also increases the power of the tests to detect abnormal performance, relative to using all trades or the last price of the day. Further, value-weighted portfolio-matching approaches are better specified and more powerful than equal-weighted approaches. Finally, we examine abnormal bond returns to acquirers around mergers and acquisitions to demonstrate how the abnormal return model and use of daily versus monthly data can affect inferences.
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Regulators express growing concern over predatory loans, which we take to mean loans that borrowers should decline. Using a model of consumer credit in which such lending is possible, we identify the circumstances in which it arises both with and without competition. We find that predatory lending is associated with highly collateralized loans, inefficient refinancing of subprime loans, lending without due regard to ability to pay, prepayment penalties, balloon payments, and poorly informed borrowers. Under most circumstances competition among lenders attenuates predatory lending. We use our model to analyze the effects of legislative interventions.
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We show that state corruption and political connections have strong effects on municipal bond sales and underwriting. Higher state corruption is associated with greater credit risk and higher bond yields. Corrupt states can eliminate the corruption yield penalty by purchasing credit enhancements. Underwriting fees were significantly higher during an era when underwriters made political contributions to win underwriting business. This pay-to-play underwriting fee premium exists only for negotiated bid bonds where underwriting business can be allocated on the basis of political favoritism. Overall, our results show a strong impact of corruption and political connections on financial market outcomes.
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A crucial issue in asset pricing is to understand the relative importance of discount rate (DR) news and cash flow (CF) news in driving the time-series and cross-sectional variations of stock returns. Many studies directly estimate the DR news but back out the CF news as the residual. We argue that this approach has a serious limitation because the DR news cannot be accurately measured due to the small predictive power, and the CF news, as the residual, inherits the large misspecification error of the DR news. We apply this residual-based decomposition approach to Treasury bonds and equities and find results that are either counterintuitive or unrobust. Potential solutions, including modeling both DR news and CF news directly, the Bayesian model averaging approach, and the principal component analysis, are explored.
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In the context of convertible bond issuance, we examine the impact of arbitrage activity on underlying equity markets. In particular, we use changes in equity short interest following convertible bond issuance to identify convertible bond arbitrage activity and analyze its impact on stock market liquidity and prices for the period 1993 to 2006. There is considerable evidence of arbitrage-induced short selling resulting from issuance. Moreover, we find strong evidence that this activity is systematically related to liquidity improvements in the stock. These results are robust to controlling for the potential endogeneity of arbitrage activity.
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We show that individual investors over‐extrapolate from their personal experience when making savings decisions. Investors who experience particularly rewarding outcomes from 401(k) saving—a high average and/or low variance return—increase their 401(k) savings rate more than investors who have less rewarding experiences. This finding is not driven by aggregate time‐series shocks, income effects, rational learning about investing skill, investor fixed effects, or time‐varying investor‐level heterogeneity that is correlated with portfolio allocations to stock, bond, and cash asset classes. We discuss implications for the equity premium puzzle and interventions aimed at improving household financial outcomes.
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Most affine models of the term structure with stochastic volatility predict that the variance of the short rate should play a 'dual role' in that it should also equal a linear combination of yields. However, we find that estimation of a standard affine three-factor model results in a variance state variable that, while instrumental in explaining the shape of the yield curve, is essentially unrelated to GARCH estimates of the quadratic variation of the spot rate process or to implied variances from options. We then investigate four-factor affine models. Of the models tested, only the model that exhibits 'unspanned stochastic volatility' (USV) generates both realistic short rate volatility estimates and a good cross-sectional fit. Our findings suggest that short rate volatility cannot be extracted from the cross-section of bond prices. In particular, short rate volatility and convexity are only weakly correlated.
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We examine whether explicitly controlling for the fixed-income exposure of mutual funds affects conclusions drawn in performance assessment. We focus on daily return data from two hybrid mutual fund samples. Comparing abnormal performance estimates from the Carhart (1997) model to extensions designed to correct for bond holdings, we find that the estimates within one of our samples change from positive to significantly negative. Additional evidence indicates that cash flows to the funds are more closely correlated with the traditional Carhart measure, clearly indicating that the absence of bond indices misleads investors who use a fund's risk-adjusted performance as the basis for investment decisions.
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The output gap, a production-based macroeconomic variable, is a strong predictor of U.S. stock returns. It is a prime business cycle indicator that does not include the level of market prices, thus removing any suspicion that returns are forecastable due to a "fad" in prices being washed away. The output gap forecasts returns both in-sample and out-of-sample, and it is robust to a host of checks. We show that the output gap also has predictive power for excess stock returns in other G7 countries and U.S. excess bond returns.