The Journal of Finance

No Arbitrage and Arbitrage Pricing: A New Approach

Published: 09/01/1993   |   DOI: 10.1111/j.1540-6261.1993.tb04753.x

RAVI BANSAL, S. VISWANATHAN

We argue that arbitrage‐pricing theories (APT) imply the existence of a low‐dimensional nonnegative nonlinear pricing kernel. In contrast to standard constructs of the APT, we do not assume a linear factor structure on the payoffs. This allows us to price both primitive and derivative securities. Semi‐nonparametric techniques are used to estimate the pricing kernel and test the theory. Empirical results using size‐based portfolio returns and yields on bonds reject the nested capital asset‐pricing model and linear APT and support the nonlinear APT. Diagnostics show that the nonlinear model is more capable of explaining variations in small firm returns.

Corporate Reorganizations and Non‐Cash Auctions

Published: 12/17/2002   |   DOI: 10.1111/0022-1082.00269

Matthew Rhodes‐Kropf, S. Viswanathan

This paper extends the theory of non‐cash auctions by considering the revenue and efficiency of using different securities. Research on bankruptcy and privatization suggests using non‐cash auctions to increase cash‐constrained bidder participation. We examine this proposal and demonstrate that securities may lead to higher revenue. However, bidders pool unless bids include debt, which results in possible repossession by the seller. This suggests all‐equity outcomes are unlikely and explains the high debt of reorganized firms. Securities also inefficiently determine bidders' incentive contracts and the firm's capital structure. Therefore, we recommend a new cash auction for an incentive contract.

Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models

Published: 03/01/1993   |   DOI: 10.1111/j.1540-6261.1993.tb04706.x

F. DOUGLAS FOSTER, S. VISWANATHAN

Patterns in stock market trading volume, trading costs, and return volatility are examined using New York Stock Exchange data from 1988. Intraday test results indicate that, for actively traded firms trading volume, adverse selection costs, and return volatility are higher in the first half‐hour of the day. This evidence is inconsistent with the Admati and Pfleiderer (1988) model which predicts that trading costs are low when volume and return volatility are high. Interday test results show that, for actively traded firms, trading volume is low and adverse selection costs are high on Monday, which is consistent with the predictions of the Foster and Viswanathan (1990) model.

Strategic Trading When Agents Forecast the Forecasts of Others

Published: 09/01/1996   |   DOI: 10.1111/j.1540-6261.1996.tb04075.x

F. DOUGLAS FOSTER, S. VISWANATHAN

We analyze a multi‐period model of trading with differentially informed traders, liquidity traders, and a market maker. Each informed trader's initial information is a noisy estimate of the long‐term value of the asset, and the different signals received by informed traders can have a variety of correlation structures. With this setup, informed traders not only compete with each other for trading profits, they also learn about other traders' signals from the observed order flow. Our work suggests that the initial correlation among the informed traders' signals has a significant effect on the informed traders' profits and the informativeness of prices.

Market Valuation and Merger Waves

Published: 11/27/2005   |   DOI: 10.1111/j.1540-6261.2004.00713.x

MATTHEW RHODES‐KROPF, S. VISWANATHAN

Does valuation affect mergers? Data suggest that periods of stock merger activity are correlated with high market valuations. The naïve explanation that overvalued bidders wish to use stock is incomplete because targets should not be eager to accept stock. However, we show that potential market value deviations from fundamental values on both sides of the transaction can rationally lead to a correlation between stock merger activity and market valuation. Merger waves and waves of cash and stock purchases can be rationally driven by periods of over‐ and undervaluation of the stock market. Thus, valuation fundamentally impacts mergers.

Collateral, Risk Management, and the Distribution of Debt Capacity

Published: 11/09/2010   |   DOI: 10.1111/j.1540-6261.2010.01616.x

ADRIANO A. RAMPINI, S. VISWANATHAN

Collateral constraints imply that financing and risk management are fundamentally linked. The opportunity cost of engaging in risk management and conserving debt capacity to hedge future financing needs is forgone current investment, and is higher for more productive and less well‐capitalized firms. More constrained firms engage in less risk management and may exhaust their debt capacity and abstain from risk management, consistent with empirical evidence and in contrast to received theory. When cash flows are low, such firms may be unable to seize investment opportunities and be forced to downsize. Consequently, capital may be less productively deployed in downturns.

Leverage, Moral Hazard, and Liquidity

Published: 01/06/2011   |   DOI: 10.1111/j.1540-6261.2010.01627.x

VIRAL V. ACHARYA, S. VISWANATHAN

Financial firms raise short‐term debt to finance asset purchases; this induces risk shifting when economic conditions worsen and limits their ability to roll over debt. Constrained firms de‐lever by selling assets to lower‐leverage firms. In turn, asset–market liquidity depends on the system‐wide distribution of leverage, which is itself endogenous to future economic prospects. Good economic prospects yield cheaper short‐term debt, inducing entry of higher‐leverage firms. Consequently, adverse asset shocks in good times lead to greater de‐leveraging and sudden drying up of market and funding liquidity.

Stock Market Declines and Liquidity

Published: 01/13/2010   |   DOI: 10.1111/j.1540-6261.2009.01529.x

ALLAUDEEN HAMEED, WENJIN KANG, S. VISWANATHAN

Consistent with recent theoretical models where binding capital constraints lead to sudden liquidity dry‐ups, we find that negative market returns decrease stock liquidity, especially during times of tightness in the funding market. The asymmetric effect of changes in aggregate asset values on liquidity and commonality in liquidity cannot be fully explained by changes in demand for liquidity or volatility effects. We document interindustry spillover effects in liquidity, which are likely to arise from capital constraints in the market making sector. We also find economically significant returns to supplying liquidity following periods of large drops in market valuations.

Retracted: Risk Management in Financial Institutions

Published: 12/12/2019   |   DOI: 10.1111/jofi.12868

ADRIANO A. RAMPINI, S. VISWANATHAN, GUILLAUME VUILLEMEY

We study risk management in financial institutions using data on hedging of interest rate and foreign exchange risk. We find strong evidence that institutions with higher net worth hedge more, controlling for risk exposures, across institutions and within institutions over time. For identification, we exploit net worth shocks resulting from loan losses due to declines in house prices. Institutions that sustain such shocks reduce hedging significantly relative to otherwise‐similar institutions. The reduction in hedging is differentially larger among institutions with high real estate exposure. The evidence is consistent with the theory that financial constraints impede both financing and hedging.

A New Approach to International Arbitrage Pricing

Published: 12/01/1993   |   DOI: 10.1111/j.1540-6261.1993.tb05126.x

RAVI BANSAL, DAVID A. HSIEH, S. VISWANATHAN

This paper uses a nonlinear arbitrage‐pricing model, a conditional linear model, and an unconditional linear model to price international equities, bonds, and forward currency contracts. Unlike linear models, the nonlinear arbitrage‐pricing model requires no restrictions on the payoff space, allowing it to price payoffs of options, forward contracts, and other derivative securities. Only the nonlinear arbitrage‐pricing model does an adequate job of explaining the time series behavior of a cross section of international returns.

Do Inventories Matter in Dealership Markets? Evidence from the London Stock Exchange

Published: 12/17/2002   |   DOI: 10.1111/0022-1082.00067

Oliver Hansch, Narayan Y. Naik, S. Viswanathan

Using London Stock Exchange data, we test the central implication of the canonical model of Ho and Stoll (1983) that relative inventory differences determine dealer behavior. We find that relative inventories explain which dealers obtain large trades and show that movements between best ask, best bid, and straddle are highly correlated with both standardized and relative inventory changes. We show that the mean reversion in inventories is highly nonlinear and increasing in inventory levels. We show that a key determinant of variations in interdealer trading is inventories and that interdealer trading plays an important role in managing large inventory positions.

Preferencing, Internalization, Best Execution, and Dealer Profits

Published: 12/17/2002   |   DOI: 10.1111/0022-1082.00167

Oliver Hansch, Narayan Y. Naik, S. Viswanathan

The practices of preferencing and internalization have been alleged to support collusion, cause worse execution, and lead to wider spreads in dealership style markets relative to auction style markets. For a sample of London Stock Exchange stocks, we find that preferenced trades pay higher spreads, however they do not generate higher dealer profits. Internalized trades pay lower, not higher, spreads. We do not find a relation between the extent of preferencing or internalization and spreads across stocks. These results do not lend support to the “collusion” hypothesis but are consistent with a “costly search and trading relationships” hypothesis.

Episodic Liquidity Crises: Cooperative and Predatory Trading

Published: 09/04/2007   |   DOI: 10.1111/j.1540-6261.2007.01274.x

BRUCE IAN CARLIN, MIGUEL SOUSA LOBO, S. VISWANATHAN

We describe how episodic illiquidity arises from a breakdown in cooperation between market participants. We first solve a one‐period trading game in continuous‐time, using an asset pricing equation that accounts for the price impact of trading. Then, in a multi‐period framework, we describe an equilibrium in which traders cooperate most of the time through repeated interaction, providing apparent liquidity to one another. Cooperation breaks down when the stakes are high, leading to predatory trading and episodic illiquidity. Equilibrium strategies that involve cooperation across markets lead to less frequent episodic illiquidity, but cause contagion when cooperation breaks down.