Value and Momentum Everywhere

We find consistent value and momentum return premia across eight diverse markets and asset classes, and a strong common factor structure among their returns. Value and momentum returns correlate more strongly across asset classes than passive exposures to the asset classes, but value and momentum are negatively correlated with each other, both within and across asset classes. Our results indicate the presence of common global risks that we characterize with a three‐factor model. Global funding liquidity risk is a partial source of these patterns, which are identifiable only when examining value and momentum jointly across markets. Our findings present a challenge to existing behavioral, institutional, and rational asset pricing theories that largely focus on U.S. equities.     

Common Volatility: An Empirical Investigation of Closed-End Country Funds

The study of international integration of equity markets has received a great deal of interest. This paper investigates whether returns of forty-one closed-end country funds share a common volatility process with three comparable return series: the underlying net asset value (NAV), U.S. stock market returns, and foreign stock market returns. Country funds are a natural setting to test for international market integration, as they are traded in the U.S. market, whereas their underlying assets are traded in foreign stock markets. Our results indicate that only a few emerging markets' country funds share common volatility processes with their comparable asset returns. This, in turn, suggests weak linkages through the second moment of related assets.     

Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry

This paper studies an overlapping generations model with multiple securities and heterogeneously informed agents. The model produces multiple equilibria, including highly volatile equilibria that can exhibit strong or weak correlations between asset returns—even when asset supplies and future dividends are uncorrelated across assets. Less informed agents rationally behave like trend‐followers, while better informed agents follow contrarian strategies. Trading volume has a hump‐shaped relation with information precision and is positively correlated with absolute price changes. Finally, accurate information increases the volatility and correlation of stock returns in the highly volatile, strongly correlated equilibrium.     

Collateralizing liquidity

I develop a dynamic model of optimal funding to understand why financial assets are used as collateral instead of being sold to raise funds. Firms need funds to invest in risky projects with nonobservable returns. Since holding these assets allows firms to raise these funds, investing firms value the asset more than noninvesting ones. When assets are less than perfectly liquid and investment opportunities are persistent, collateralized debt minimizes asset transfers from investing to noninvesting firms and thus is optimal. Frictions in asset markets lead to an illiquidity discount and a collateral premium, which increase with the asset’s illiquidity.     

The performance of model based option trading strategies

This paper analyzes returns to trading strategies in options markets that exploit information given by a theoretical asset pricing model. We examine trading strategies in which a positive portfolio weight is assigned to assets which market prices exceed the price of a theoretical asset pricing model. We investigate portfolio rules which mimic standard mean-variance analysis is used to construct optimal model based portfolio weights. In essence, these portfolio rules allow estimation risk, as well as price risk to be approximately hedged. An empirical exercise shows that the portfolio rules give out-of-sample Sharpe ratios exceeding unity for S&P 500 options. Portfolio returns have no discernible correlation with systematic risk factors, which is troubling for traditional risk based asset pricing explanations.     

Measuring quantile dependence and testing directional predictability between Bitcoin,altcoins and traditional financial assets

This paper studies causal relationships and the potential of improving conditional quantile forecasting between Bitcoin and seven altcoin markets as well as between Bitcoin and three mainstream assets, namely gold, oil, and the S&P500, by applying the Granger-causality in distribution and in quantiles tests. We find significant bidirectional causality between Bitcoin and all altcoins and assets considered in the two distribution tails. An enhanced forecast of Bitcoin price returns is thus derived by conditioning on altcoins or assets and vice versa during extreme market conditions. However, under normal market conditions the results for the centre of the distribution of the Bitcoin price returns conditional on altcoins depend on both the altcoin considered and quantile under investigation. We also find evidence that Bitcoin is not isolated from financial markets, while this developing financial asset is a strong safe-haven for oil and a weak safe-haven for S&P500, but it cannot be considered as either a weak or strong safe-haven for gold. Our results reveal a more complete relationship between Bitcoin and altcoins as well as financial assets than was previously considered.     

Feedback Effects and Asset Prices

Feedback effects from asset prices to firm cash flows have been empirically documented. This finding raises a question for asset pricing: How are asset prices determined if price affects fundamental value, which in turn affects price? In this environment, by buying assets that others are buying, investors ensure high future cash flows for the firm and subsequent high returns for themselves. Hence, investors have an incentive to coordinate, which may generate self‐fulfilling beliefs and multiple equilibria. Using insights from global games, we pin down investors' beliefs, analyze equilibrium prices, and show that strong feedback leads to higher excess volatility.     

Asymmetric Volatility,Skewness, and Downside Risk in Different Asset Classes: Evidence from Futures Markets

This study examines the cross‐sectional variation of futures returns from different asset classes. The monthly returns are positively correlated with downside risk and negatively correlated with coskewness. The asymmetric volatility effect generates negatively skewed returns. Assets with high coskewness and low downside betas provide hedges against market downside risk and offer low returns. The high returns offered by assets with low coskewness and high downside betas are a risk premium for bearing downside risk. The asset pricing model that incorporates downside risk partially explains the futures returns. The results indicate a unified risk perspective to jointly price different asset classes.     

Asymmetric Information and the Predictability of Real Estate Returns

This article examines the relation between systematic price changes and the heterogeneity of investors information sets in real estate asset markets. The empirical implications rely on a theoretical economy in which information asymmetry alters the dynamic relation between returns and trading volume. We employ a filter-rule methodology to determine predictability in returns and augment the return-based conditioning set with trading volume. The additional conditioning information is necessary since the model is underspecified when predictability is based on returns alone. Our results provide new insight into the coexistence of informational and noninformational exchange in the speculative markets for real estate assets. Specifically, we find that the predictability of real estate returns is generally more indicative of portfolio rebalancing effects than an adverse-selection problem. These results are unique in addressing the time-variation in information asymmetry.     

Valuation Effects for Asset Sales

This study provides evidence that the outcome for shareholders resulting from asset sales is determined at the time of transaction by the value for the asset sold. Assets sold above market value are followed by positive and significant abnormal returns over the following three months; these returns are magnified in firms where the balance of power in corporate governance favors shareholders. Abnormal returns following undervalued asset sales are insignificant from zero, indicating value-preservation. Value-preservation when the assets are sold below market value becomes less likely as firms approach financial constraints. The reverse is true when assets are sold above market value. This evidence is documented for apartment REITs, which have a large number of comparable transactions available for estimating expected market values.     

Methods of Payment in Asset Sales: Contracting with Equity versus Cash

We analyze intercorporate asset sales where equity is the means of payment, and compare the results to cash asset sales. Equity deals are value‐enhancing for both buyers, 10%, and sellers, 3%, while cash sales generate seller returns of 1.9% and buyer returns that are not significant. Combined wealth gains are large for equity deals, but modest for cash deals. Equity‐based asset sales are not a precursor to consolidations between buyers and sellers, and do not affect buyer openness to the takeover market. We conclude that the use of buyer equity conveys favorable information about the value of assets and buyers.     

When Do Vertical Mergers Create Value?

This paper studies the market reaction to vertical mergers and explores the many rationales for vertical integration proposed in the industrial organization literature. Abnormal returns for vertical merger announcements are positive until the late 1990s, and turn negative afterward. Acquirers suffer most of the losses. We find support for the most fundamental insight in the industrial organization literature, namely, that vertical mergers generate the greatest value when undertaken in imperfectly competitive markets. We find some evidence to support ideas of asset and site specificity, that is, creating value when market exchange is difficult. We do not find support for information‐based or price uncertainty theories.     

Risk diversification gains from metropolitan housing assets

The study analyzes the roles of metropolitan housing assets in risk diversification by assessing intertemporal hedging demands for multi‐asset portfolios, which include metropolitan houses, REITs, stocks, bonds, and riskless assets. Investors substitute housing assets in high‐population MSAs with those in low‐population cities, and they switch their holdings of housing assets to less risky bonds in the 2007–2008 housing bust. The findings from the multi‐period portfolio choice problem provide evidence for momentum reversal since forward‐looking investors substitute bottom metropolitan housing assets for top ones in the housing boom, and the GTTB index and the lagged REIT price return have negative impacts on various asset returns.     

Investigating the nature of interaction between crypto-currency and commodity markets

This paper investigates the dynamic relationship and volatility spillovers between cryptocurrency and commodity markets using different multivariate GARCH models. We take into account the nature of interaction between these markets and their transmission mechanisms when analyzing the conditional cross effects and volatility spillovers. Our results confirm the presence of significant returns and volatility spillovers, and we identify the GO-GARCH (2,2) as the best-fit model for modeling the joint dynamics of various financial assets. Our findings show significant dynamic linkages and volatility spillovers between gold, natural gas, crude oil, Bitcoin, and Ethereum prices. We find that gold can serve as a safe haven in times of economic uncertainty, as it is a good hedge against natural gas and crude oil price fluctuations. We also find evidence of bidirectional causality between crude oil and natural gas prices, suggesting that changes in one commodity's price can affect the other. Furthermore, we observe that Bitcoin and Ethereum are positively correlated with each other, but negatively correlated with gold and crude oil, indicating that these cryptocurrencies may serve as useful diversification tools for investors seeking to reduce their exposure to traditional assets. Our study provides valuable insights for investors and policymakers regarding asset allocation and risk management, and sheds light on the dynamics of financial markets.     

Cross‐region and cross‐sector asset allocation with regimes

Cross‐region and cross‐sector asset allocation decisions are one of the most fundamental issues in international equity portfolio management. Equity returns exhibit higher volatilities and correlations, and lower expected returns, in bear markets compared to bull markets. However, static mean–variance analysis fails to capture this salient feature of equity returns. We accommodate the nonlinearity of returns using a regime switching model across both regions and sectors. The regime‐dependent asset allocation potentially adds value to the traditional static mean–variance allocation. In addition, optimal allocation across sectors provide greater benefits compared to international diversification, which is characterized by higher returns, lower risks, lower correlations with the world market and a higher Sharpe ratio.     

Price determinants of Aboriginal art, and its role as an alternative asset class

This paper analyzes auction results for over 4000 paintings by Australian Aboriginal artists to investigate determinants of prices in the Aboriginal art market. This is the first financial study of an indigenous art market, and hedonic, repeat sales and hybrid regression analyses find it shares price determinants with traditional art markets (with price premia attached to artist name, death, painting size, leading auction house, and winter sale). However, Aboriginal art’s unique features significantly affect prices, particularly works that use traditional Aboriginal media and those with reputation-affirming traits. An Aboriginal Art Index provides 6.6% annual return (standard deviation 17.9%), which is comparable to traditional asset classes and superior on a risk-adjusted basis. Returns to Aboriginal art are negatively correlated with returns from other assets, and so it adds value to a diversified investment portfolio.     

Cashflow news,the value premium and an asset pricing view on European stock market integration

The decomposition of national CAPM market betas of European countries’ value and growth portfolio returns into cashflow and discount rate news driven components reveals that i) high average returns on value portfolios are associated with disproportionately high sensitivity to national cashflow news which corroborates recent evidence for the U.S. and ii) two-beta variants of national CAPMs capture the cross-sectional dispersion in European stock returns. The latter finding is suggestive of relatively well integrated stock markets among the core European countries and reflects basic asset pricing theory. One (national) discount factor should price any (international) asset.     

Stock and Bond Return Comovement as a Different Way to Assess Information Content: The Case of Debt Covenant Violation Disclosures

We propose a supplementary way to assess the information content of a financial statement disclosure based on the comovement of asset returns in different markets in response to information that has price implications for both. The influence of a signal that strongly influences at least two asset markets measures a dimension of information content less clearly reflected in single‐market responses. We apply our method to debt covenant violation (DCV) disclosures. These are the outcome of a debt renegotiation when the covenant promises in a debt agreement to manage the agency costs of debt are broken. We find that stock and bond return comovement is highest one day before DCV disclosure and differs depending on whether the debt covenant is waived or not waived. We find that stock and bond return comovement in the days following a DCV disclosure decreases more for non‐waiver disclosures than for waiver disclosures. This supports the theory that a non‐waiver outcome shifts control rights and bargaining power to the creditors. Consistent with this theory, single‐market tests show that bonds with a non‐waiver disclosure versus a waiver disclosure earn positive excess returns following a DCV disclosure whereas the reverse is true for stocks.     

Dynamics of Private and Public Real Estate Markets

Using five assets (T-bills, bonds, stocks, and both public and private real estate), this study investigates how cointegration of capital markets affects the dynamics of public and private real estate markets. The results show that the price indices of the five assets are nonstationary and cointegrated. Some implications for the long-term equilibrium relationship for portfolio diversification, price discovery and prediction are discussed. In a Granger causality framework, error-correction augmented VAR models (VECM) and unrestricted VAR models are compared with respect to the conclusion regarding the interaction between public and private real estate returns. VECM is also shown to improve the prediction of private real estate returns relative to an unrestricted VAR model. These results raise questions about previous research studies regarding the dynamics between public and private real estate returns. It is shown that the long-term equilibrium relationship establishes a feedback between the two real estate markets, but the private market seems to informationally lead the public one. Possible explanations are also explored.     

What Does the Corporate Bond Market Know?

Do related markets reflect new information simultaneously? For high‐yield bonds, a large abnormal price decline in a corporation's most liquid bond over a month is followed by an average abnormal stock price decline of ?1.42%. This effect is larger for stocks that have increased in value and for volatile stocks. It is also larger for bonds with high coupons and shorter maturities. These results support the view that high‐yield corporate bonds have an informational edge when news is negative and stock returns are noisy, and add to the growing literature on the substantial lags in price discovery between related markets.