Liquidity risk of corporate bond returns: conditional approach

We study the exposure of the US corporate bond returns to liquidity shocks of stocks and Treasury bonds over the period 1973–2007 in a regime-switching model. In one regime, liquidity shocks have mostly insignificant effects on bond prices, whereas in another regime, a rise in illiquidity produces significant but conflicting effects: Prices of investment-grade bonds rise while prices of speculative-grade (junk) bonds fall substantially (relative to the market). Relating the probability of these regimes to macroeconomic conditions we find that the second regime can be predicted by economic conditions that are characterized as “stress.” These effects, which are robust to controlling for other systematic risks (term and default), suggest the existence of time-varying liquidity risk of corporate bond returns conditional on episodes of flight to liquidity. Our model can predict the out-of-sample bond returns for the stress years 2008–2009. We find a similar pattern for stocks classified by high or low book-to-market ratio, where again, liquidity shocks play a special role in periods characterized by adverse economic conditions.     

Financial literacy and stock market participation

We have devised two special modules for De Nederlandsche Bank (DNB) Household Survey to measure financial literacy and study its relationship to stock market participation. We find that the majority of respondents display basic financial knowledge and have some grasp of concepts such as interest compounding, inflation, and the time value of money. However, very few go beyond these basic concepts; many respondents do not know the difference between bonds and stocks, the relationship between bond prices and interest rates, and the basics of risk diversification. Most importantly, we find that financial literacy affects financial decision-making: Those with low literacy are much less likely to invest in stocks.     

Permanent trading impacts and bond yields

We analyse four years of transaction data for euro-area sovereign bonds traded on the MTS electronic platforms. In order to measure the informational content of trading activity, we estimate the permanent price response to trades. We not only find strong evidence of information asymmetry in sovereign bond markets, but also show the relevance of information asymmetry in explaining the cross-sectional variations of bond yields across a wide range of bond maturities and countries. Our results confirm that trades of more recently issued bonds and longer maturity bonds have a greater permanent effect on prices. We compare the price impact of trades for bonds across different maturity categories and find that trades of French and German bonds have the highest long-term price impact in the short maturity class, whereas trades of German bonds have the highest permanent price impact in the long maturity class. More importantly, we study the cross-section of bond yields and find that after controlling for conventional factors, investors demand higher yields for bonds with larger permanent trading impact. Interestingly, when investors face increased market uncertainty, they require even higher compensation for information asymmetry.     

What determines the stock market's reaction to monetary policy statements?

We find that information communicated through monetary policy statements has important business cycle dependent implications for stock prices. For example, during periods of economic expansion, stocks tend to respond negatively to announcements of higher rates ahead. In recessions, however, we find a strong positive reaction of stocks to seemingly similar signals of future monetary tightening. We provide evidence that the state dependence in the stock market's response is explained by information about the expected equity premium and future corporate cash flows contained in monetary policy statements. We also show state dependence in the average stock returns on days of scheduled FOMC meetings and in the impact of monetary policy statements on stock and bond return volatility.     

The lead-lag relation between the stock and the bond markets

I examine the relative informational efficiency of bonds and the underlying stocks through the lead-lag relation between their daily returns. I find that stock returns lead the returns of high yield bonds but not those of investment grade bonds, which indicates that the stock market is relatively more informational efficient than the bond market. The findings imply trading opportunities for the bonds that are highly sensitive to the release of new information. I also find that stocks detect impending defaults earlier than bonds, which implies that bond holders may have enough time to protect their capital.     

Predicting returns in the stock and bond markets

Several predetermined variables that reflect levels of bond and stock prices appear to predict returns on common stocks of firms of various sizes, long-term bonds of various default risks, and default-free bonds of various maturities. The returns on small-firm stocks and low-grade bonds are more highly correlated in January than in the rest of the year with previous levels of asset prices, especially prices of small-firm stocks. Seasonality is found in several conditional risk measures, but such seasonality is unlikely to explain, and in some cases is opposite to, the seasonal found in mean returns.     

The Variation of Economic Risk Premiums in Real Estate Returns

We examine the predictable components of returns on stocks, bonds, and real estate investment trusts (REITs). We employ a multiple-beta asset pricing model and find that there are varying degrees of predictability among stocks, bonds, and REITs. Furthermore, we find that most of the predictability of returns is associated with the economic variables employed in the asset pricing model. The stock market risk premium is highly important in capturing the predictable variation in stock portfolios, and the bond market risk premiums (term and risk structure of interest rates) are important in capturing the predictable variation in bond portfolios. For REITs, however, both the stock and bond market risk premiums capture the predictable variation in returns. REITs have comparable return predictability to stock portfolios. We conclude that there is an important economic risk premium for REITs that are not captured by traditional multiple-beta asset pricing models.     

Bond Market Response to the Collapse of Prominent Investment Banks

We find that the Bear Stearns rescue in March 2008 elicited a neutral or moderately favorable impact on bond prices. Conversely, we find that the Lehman Brothers failure (combined with news about Merrill Lynch and American International Group) in September 2008 elicited a pronounced negative impact. Bond prices of financial firms suffered more than bonds of nonfinancial firms following the Lehman failure. Our multivariate analysis shows that bonds issued by financial institutions that were previously presumed to be protected (based on bond rating and firm size) suffered more pronounced losses in response to the Lehman failure.     

Connecting two markets: An equilibrium framework for shorts,longs, and stock loans

We analyze a reduced-form framework for understanding the equity loan market's impact on share prices. We show that hard-to-borrow stocks will have distinct return patterns, responding more to shocks in the supply of shares available, and to changes in the heterogeneity of investor beliefs, than other stocks. We conduct two empirical tests in which we find strong support for these equilibrium predictions. In our first test, we take advantage of a tax-driven exogenous shock to share loan supply and find that when supply is reduced around dividend record dates, prices of hard-to-borrow stocks increase 1.1% while prices of easy-to-borrow stocks are unaffected. In our second test, we find that hard-to-borrow stocks have 4.8% lower three-month returns than other stocks, with negative returns concentrated in stocks with high heterogeneity in investor beliefs. Thus, we extend the Diether, Malloy, and Scherbina (2002) result that stocks with a greater dispersion of investor beliefs have lower returns.     

Is the disposition effect in bonds as strong as in stocks? Evidence from an emerging market

Does the disposition effect appear in bond trades as in stocks? We apply Odean's measurement (1998) to a proprietary transaction database with unique investor IDs from an emerging market exchange that holds both stock and bond trading. We find some disposition effect in treasury bonds, but much lower than in stocks, and a positive relation between the two measures by investor. In addition, we find a significant disposition effect for local individuals and family offices, in both markets. In contrast, long-term institutions, brokerage firms, and foreign investors do not exhibit this bias. This is the first study to report evidence of the disposition effect in a fixed-income market.     

A continuous time equilibrium model of forward prices and futures prices in a multigood economy

This paper is a theoretical investigation of equilibrium forward and futures prices. We construct a rational expectations model in continuous time of a multigood, identical consumer economy with constant stochastic returns to scale production. Using this model we find three main results. First, we find formulas for equilibrium forward, futures, discount bond, commodity bond and commodity option prices. Second, we show that a futures price is actually a forward price for the delivery of a random number of units of a good; the random number is the return earned from continuous reinvestment in instantaneously riskless bonds until maturity of the futures contract. Third, we find and interpret conditions under which normal backwardation or contango is found in forward or futures prices; these conditions reflect the usefulness of forward and futures contracts as consumption hedges.     

An Empirical Analysis of the Stockholder-Bondholder Conflict in Corporate Spin-Offs

We analyze the effect of daily stock and bond abnormal returns around spin-off announcements. Over a three-day event window, we find statistically significant abnormal returns of 3.07% for stocks and 0.11% for straight bonds. Both stock and bond abnormal returns are higher for firms with lower interest and dividend payouts. Stock abnormal returns are also higher for firms with higher pre-spin-off leverage. Overall, we find that the firm value increase compensates for the wealth transfer effect and that bondholders' wealth is not reduced as a result of spin-off.     

Why Option Prices Lag Stock Prices: A Trading-based Explanation

While many studies find that option prices lead stock prices, Stephan and Whaley (1990) find that stocks lead options. We find no evidence that options, even deep out-of-the-money options, lead stocks. After confirming Stephan and Whaley's results, we show their results can be explained as spurious leads induced by infrequent trading of options. We show that the stock lead disappears when the average of the bid and ask prices is used instead of transaction prices. Hence, we find no evidence of arbitrage opportunities associated with the stock lead.     

The information content of credit ratings: evidence from European convertible bond markets

Prior research has investigated the information content of credit ratings for standard financing instruments such as stocks and corporate bonds, while this question has been neglected for convertible bonds (CBs) so far. CBs are simultaneously determined by the bond floor and the conversion value, which makes it more difficult to assess price effects following rating announcements. In this context, we compare price effects of CBs with those of stocks and corporate bonds of the same issuer using robust event study methods. Our findings indicate that rating changes convey new information for investors in European CBs. In terms of the direction of the expected price reaction, we find CBs to react in a more debt-like manner to the announcement of a rating change. Moreover, our results provide evidence that the magnitude of price reactions differs among different types of securities.     

The Independent Impact of Credit Rating Changes – The Case of Moody's Rating Refinement on Yield Premiums

On April 26, 1982, Moody's Investors Service refined its rating system for the first time in its seventy-three year rating history. We examine the information content of the rating refinement in the study. We find a statistically significant change in the yields on bonds whose ratings were downgraded. The detection of the impact of refinement on bond prices implies that rating agencies perform an important function in financial markets, that is they provide information to investors.     

Do shareholders benefit from green bonds?

The green bond market has been growing rapidly worldwide since its debut in 2007. We present the first empirical study on the announcement returns and real effects of green bond issuance by firms in 28 countries during 2007–2017. After compiling a comprehensive international green bond dataset, we document that stock prices positively respond to green bond issuance. However, we do not find a consistently significant premium for green bonds, suggesting that the positive stock returns around green bond announcements are not fully driven by the lower cost of debt. Nevertheless, we show that institutional ownership, especially from domestic institutions, increases after the firm issues green bonds. Moreover, stock liquidity significantly improves upon the issuance of green bonds. Overall, our findings suggest that the firm's issuance of green bonds is beneficial to its existing shareholders.     

Foreign Shocks on Chilean Financial Markets: Spillovers and Comovements Between Bond and Equity Markets

Abstract:

The domestic impact of external shocks will depend on the degree of coupling of domestic assets to foreign markets, but also on the spillovers among assets. The covariance between different types of assets could be affected by new information. Changes in the covariance, for example, could come from a stronger rebalancing between stocks and bonds. Therefore, we will analyze four different assets-government bonds, corporate bonds, money market instruments, and equities-and study the conditional correlation between them. We find that the corporate bond market tends to increase coupling in turbulent times, while the money market decreases coupling. We propose to test international spillovers taking into account a methodology for estimating the conditional mean, variance, and covariance on domestic bond and equity markets, while considering that shocks may have asymmetric effects depending on whether the news is good or bad.     

Corporate Bond Market Transaction Costs and Transparency

Using a complete record of U.S. over‐the‐counter (OTC) secondary trades in corporate bonds, we estimate average transaction costs as a function of trade size for each bond that traded more than nine times between January 2003 and January 2005. We find that transaction costs decrease significantly with trade size. Highly rated bonds, recently issued bonds, and bonds close to maturity have lower transaction costs than do other bonds. Costs are lower for bonds with transparent trade prices, and they drop when the TRACE system starts to publicly disseminate their prices. The results suggest that public traders benefit significantly from price transparency.     

Requiem for a Market Maker: The Case of Drexel Burnham Lambert and Junk Bonds

This article adds to both the financial intermediation and market microstructure literature by examining the market reactions surrounding the withdrawal of a major financial intermediary and market maker from a specific securities market. We examine the exit of Drexel Burnham Lambert (Drexel) from the junk bond market in 1990. At the time Drexel exited the market by declaring bankruptcy, it was the dominant market maker and underwriter of junk bonds. We examine the impact of Drexel's failure on direct and indirect holders of junk bonds by investigating the effect of Drexel's collapse on junk bond returns, and on the stock returns of a group of firms that, on average, held significant amounts of junk bonds. We find that the collapse of Drexel had a significant impact on junk bond prices in general, and a greater impact on the prices of lower-quality junk bonds in particular. We interpret this result to imply that the value of the liquidity services supplied by Drexel was higher for lower-quality junk bonds. Additionally, we find that junk bonds underwritten by Drexel, as opposed to other investment banks, experienced a significant decline in price over the months leading up to Drexel's failure announcement. This suggests that the monitoring services provided by Drexel for the bonds it underwrote would not be replaced easily by other financial intermediaries operating in the junk bond market. Our results also indicate that the stock returns of life insurance companies with relatively high junk bond exposure tended to be affected more negatively by Drexel's financial distress than the stock returns of life insurance companies with relatively low junk bond exposure.     

Robust portfolio choice with stochastic interest rates

We determine the optimal investment strategy for an ambiguity-averse investor in a setting with stochastic interest rates. The investor has access to stocks, bonds, and a bank account and he is ambiguous about the expected rate of return of both bonds and stocks. The investor can have different levels of ambiguity aversion about the two types of risky assets. We find that it is more important to take model uncertainty about the stock dynamics than model uncertainty about the bond dynamics into account. Furthermore, the investor’s ambiguity increases his hedging demand. Consequently, the bond/stock ratio increases with his ambiguity and implies less extreme positions in the bank account. Altogether, our model yields portfolio allocations which are more in line with what is implementable in practice. Finally, we demonstrate that neglecting model uncertainty implies significant losses for the investor.