Optimal Portfolio Choices, House Risk Hedging and the Pricing of Forward House Transactions

This paper develops a utility indifference model for evaluating various prices associated with forward transactions in the housing market, based on the equivalent principle of expected wealth utility derived from the forward and spot real estate markets. Our model results show that forward transactions in the housing market are probably not due to house sellers?? and buyers?? heterogeneity, but to their demand for hedging against house price risk. When the imperfections of real estate markets and the risk preferences of market participants are taken into consideration, we are able to show that the idiosyncratic risk premium, which mainly depends on the participants?? risk preferences and the correlation between the traded asset and the real estate, is a remarkable determinant of house sellers?? and buyers?? forward reservation prices. In addition, we also find that the market clearing forward price usually will not converge toward the expected risk-neutral forward price. The sellers?? or buyers?? risk aversion degrees and market powers are also identified to play crucial roles in determining the clearing forward price.     

Risk‐Sharing or Risk‐Taking? Counterparty Risk,Incentives, and Margins

Derivatives activity, motivated by risk‐sharing, can breed risk‐taking. Bad news about the risk of an asset underlying a derivative increases protection sellers' expected liability and undermines their risk‐prevention incentives. This limits risk‐sharing, creates endogenous counterparty risk, and can lead to contagion from news about the hedged risk to the balance sheet of protection sellers. Margin calls after bad news can improve protection sellers' incentives and in turn enhance risk‐sharing. Central clearing can provide insurance against counterparty risk but must be designed to preserve risk‐prevention incentives.     

The Value of Central Clearing

I study a contracting innovation that suddenly insulated traders of hedging contracts against counterparty risk: central clearing counterparties (CCPs) for derivatives. The first CCP was created in Le Havre (France) in 1882, in the coffee futures market. Using triple difference-in-differences estimation, I show that central clearing changed the geography of trade flows Europe-wide, to the benefit of Le Havre. Inspecting the mechanism using trader-level data, I find that the CCP solved both a “missing market” problem and adverse selection issues. Central clearing also facilitated entry of new traders in the market. The successful contracting innovation quickly spread to other exchanges.     

Uninsurable risk and financial market puzzles

We compare the empirical performances of three risk-sharing arrangements involving idiosyncratic skill shocks: (a) where individuals are unable to directly insure their consumption against individual-specific shocks, (b) where agents strike long-term insurance contract with financial intermediaries involving a truth revelation constraint as in Kocherlakota and Pistaferri (2009), (c) full risk sharing. Based on the widely accepted assumption of cross-sectional log-normality of individual consumption levels, we work out closed form expressions of the pricing kernels for (a) and (b). We put these three models to test four financial market anomalies, namely the equity premium, currency premium, risk-free rate, and consumption-real exchange rate puzzles simultaneously in an integrated framework. We find that the pricing kernel associated with (a) outperforms the other two models in terms of the produced estimates of the agent’s preference parameters and the model ability to predict the equity and currency premia, the risk-free rate, and the log growth in the exchange rate. However, the predictive ability is still far from satisfactory for all three models under scrutiny.     

Pricing forward contracts in power markets by the certainty equivalence principle: Explaining the sign of the market risk premium

In this paper we provide a framework that explains how the market risk premium, defined as the difference between forward prices and spot forecasts, depends on the risk preferences of market players and the interaction between buyers and sellers. In commodities markets this premium is an important indicator of the behavior of buyers and sellers and their views on the market spanning between short-term and long-term horizons. We show that under certain assumptions it is possible to derive explicit solutions that link levels of risk aversion and market power with market prices of risk and the market risk premium. We apply our model to the German electricity market and show that the market risk premium exhibits a term structure which can be explained by the combination of two factors. Firstly, the levels of risk aversion of buyers and sellers, and secondly, how the market power of producers, relative to that of buyers, affects forward prices with different delivery periods.     

Pricing real assets with costly search

Markets for many real assets are characterized by sequentialsearch followed by bilateral bargaining between matched buyersand sellers. For a category of real assets, the joint, intertemporalvaluation problems of buyers, owners, and sellers and the associatedNash pricing function are solved explicity. In equilibrium,the average transaction price is a noisy, proportional randomwalk, and the liquidity premium is positive for matched owners.Depending on the values of the parameters, the liquidity ofoptimal development with costly search, the optimal exercisepoint, cost of development, and value of the undeveloped assetare calculated analytically. With search, development can occursooner and undeveloped assets have lower market values thanthe standard solution without search.     

Investor behaviour and reaching for yield: Evidence from the sterling corporate bond market

We provide evidence on how corporate bond investors react to a change in yields, and how this behaviour differs in times of market‐wide stress. We also investigate ‘reaching for yield’ across investor types, as well as providing insights into the structure of the corporate bond market. Using proprietary sterling corporate bond transaction data, we show that insurance companies, hedge funds and asset managers are typically net buyers when corporate bond yields rise. Dealer banks clear the market by being net sellers. However, we find evidence for this behaviour reversing in times of stress for some investors. During the 2013 ‘taper tantrum’, asset managers were net sellers of corporate bonds in response to a sharp rise in yields, potentially amplifying price changes. At the same time, dealer banks were net buyers. Finally, we provide evidence that insurers, hedge funds and asset managers tilt their portfolios towards higher risk bonds, consistent with ‘reaching for yield’ behaviour.     

CCPs and network stability in OTC derivatives markets

Among the reforms to OTC derivative markets since the global financial crisis is a commitment to collateralize counterparty exposures and to clear standardized contracts via central counterparties (CCPs). The reforms aim to reduce interconnectedness and improve counterparty risk management in these important markets. At the same time, however, the reforms necessarily concentrate risk in one or a few nodes in the financial network and also increase institutions’ demand for high-quality assets to meet collateral requirements. This paper looks more closely at the implications of increased CCP clearing for both the topology and stability of the financial network. Building on Heath et al. (2013) and Markose (2012), the analysis supports the view that the concentration of risk in CCPs could generate instability if not appropriately managed. Nevertheless, maintaining CCP prefunded financial resources in accordance with international standards and dispersing any unfunded losses widely through the system can limit the potential for a CCP to transmit stress even in very extreme market conditions. The analysis uses the Bank for International Settlements Macroeconomic Assessment Group on Derivatives (MAGD) data set on the derivatives positions of the 41 largest bank participants in global OTC derivative markets in 2012.     

CDS as insurance: Leaky lifeboats in stormy seas

What market features of financial risk transfer exacerbate counterparty risk? To analyze this, we formulate a model which elucidates important differences between financial risk transfer and traditional insurance, using the example of Credit Default Swaps (CDS). We allow for (heterogeneous) insurer insolvency, which captures the possibility that relatively risky counterparties may exist in the market. Further, we find that stable insurers become less stable as the price of the contract decreases. The analysis includes insured parties that have heterogeneous motivations for purchasing CDS. For example, some may own the underlying asset and purchase CDS for risk management, while others buy these contracts purely for trading purposes. We show that traders will choose to contract with less stable insurers, resulting in higher counterparty risk in this market relative to that of traditional insurance; however, a regulatory policy that removes traders can, perversely, cause stable counterparties to become less stable. We conclude with two extensions of the model that consider a Central Counterparty (CCP) arrangement and the consequences of asymmetric information over insurer type.     

Pricing of swaps with default risk

In this paper, I study the valuation of interest rate and currency swaps with default risk under the contingent claim analysis framework. I demonstrate that the traditional approach of pricing swap contracts as exchanges of loans underestimates the value of such contracts to the counterparty with higher credit rating and exaggerates the credit spread required to guard against default risk. Numerical simulations show that the swap rate is not sensitive to counterparty credit rating: for a ten year interest rate swap, a one hundred basis point increase in counterparty bond yield spread results in only about one basis point increase in the swap rate. (JEL G10, G12, G13)This paper is based on Chapter 2 of my Ph.D. dissertation at Yale University. I would like to thank my dissertation committee, Kenneth French, Roger Ibbotson, and Jonathan Ingersoll, Jr. (chairman), for helpful advice and guidance. I would also like to thank Keny Back, Richard Lindsey, N. R. Prabhala, Ming Huang, Marti Subrahmanyam, three anonymous referees and especially Bob Jarrow, the editor, for helpful comments and suggestions. Any errors that remain are solely mine. This paper won the 1996 Trefftzs Award for best student paper from the Western Finance Association.     

Uncertainty,Inflation, and Welfare

This paper studies the welfare costs and the redistributive effects of inflation in the presence of idiosyncratic liquidity risk, in a microfounded search‐theoretical monetary model. We calibrate the model to match the empirical aggregate money demand and the distribution of money holdings across households and study the effects of inflation under the implied degree of market incompleteness. We show that in the presence of imperfect insurance the estimated long‐run welfare costs of inflation are on average 40% to 55% smaller compared to a complete markets, representative agent economy, and that inflation induces important redistributive effects across households.     

Financial Intermediaries, Markets, and Growth

We build a model in which financial intermediaries provide insurance to households against idiosyncratic liquidity shocks. Households can invest in financial markets directly if they pay a cost. In equilibrium, the ability of intermediaries to share risk is constrained by the market. From a growth perspective, this can be beneficial because intermediaries invest less in the productive technology when they provide more risk-sharing. Our model predicts that bank-oriented economies can grow more slowly than more market-oriented economies, which is consistent with some recent empirical evidence.     

Effects of Competition on Insurance Contract Formation

For an insurance transaction between a single risk-averse buyer and single risk-neutral seller with positive transaction costs, it is well known that the buyer will prefer a policy contract with an ordinary deductible. More detailed results demonstrate the Pareto optimality of an insurance contract characterized by a deductible (followed by coinsurance) for a single risk-averse buyer and single risk-averse seller. In the present work, we employ a market-game model to solve for the equilibrium insurance contract. This formulation, which approximates the behavior of excess property insurance and property catastrophe reinsurance markets, reveals that the equilibrium policy is described by full insurance up to a given policy limit, with no deductible or coinsurance. Our analysis shows further that this solution persists regardless of the numbers of buyers and sellers in the market, and in particular that the market-game equilibrium does not converge to a Pareto-optimal result because of boundary constraints on the number of sellers. Finally, we test our price-formation mechanism against an important generalization, and find that the policy-limit contract persists.     

Daily short interest,idiosyncratic risk,and stock returns

This paper examines the relation between short selling and returns and the impact of arbitrage costs on short sellers’ behavior. Using daily UK short selling data, we find that stocks with low short interest levels experience significant positive returns on both an equal- and value-weighted basis. Economic theory predicts that short sellers avoid establishing positions in stocks with high idiosyncratic risk. Our results indicate a negative relation between short interest and returns among high idiosyncratic risk stocks and that short selling activity is mostly concentrated in low idiosyncratic risk stocks where it is less costly to arbitrage fundamental risk.     

Endogenous market segmentation for lemons

Information asymmetry between sellers and buyers often prevents socially desirable trade. This article presents a new mechanism that mitigates the inefficiencies caused by information asymmetry. I consider decentralized markets under adverse selection and show that such markets can be endogenously segmented in a way that improves social welfare. Endogenous segmentation is driven by low‐quality sellers’ incentive to attract more buyers by separating from high‐quality sellers. The mechanism helps us understand the roles of several real‐world institutions, such as multiple marketplaces, costless advertisements, and nonbinding list prices.     

Insurance and opportunities: A welfare analysis of labor market risk

Using a model with constant relative risk-aversion preferences, endogenous labor supply and partial insurance against idiosyncratic wage risk, this paper provides an analytical characterization of three welfare effects: (a) the welfare effect of a rise in wage dispersion, (b) the welfare gain from completing markets, and (c) the welfare effect from eliminating risk. The analysis reveals an important trade-off for these welfare calculations. On the one hand, higher wage uncertainty increases the cost associated with missing insurance markets. On the other hand, greater wage dispersion presents opportunities to raise aggregate productivity by concentrating market work among more productive workers. Welfare effects can be expressed in terms of the underlying parameters defining preferences and wage risk or, alternatively, in terms of changes in observable second moments of the joint distribution over individual wages, consumption and hours.     

The anatomy of buyer–seller dynamics in decentralized markets

In this paper I investigate the nexus between buyer–seller dynamics, financial frictions and market efficiency in decentralized markets. To do so, I introduce financial frictions in a dynamic market with heterogeneous traders. Heterogeneously constrained buyers sequentially enter the market to acquire units of a generic good from heterogeneously endowed sellers. I characterize two closely related classes of equilibria, respectively called homogeneous equilibrium with no entry (HEWNE) and homogeneous equilibrium with entry (HEWE). Both equilibria prescribe a market where only the efficiently endowed type of seller exists in the limit. However, the two equilibria diverge in the specification of agents’ behavior subsequent to trade. In HEWNE, sellers and buyers exit the market upon successful trading. In HEWE, like in supply chains, in every period certain types of buyers replace exiting sellers, thus becoming potential sellers for subsequent waves of buyers. First, I identify the critical role of frictions in steering the complex evolution of market heterogeneity for both classes of equilibria. Secondly, I operationalize the combined study of HEWNE and HEWE to obtain sharp predictions on market efficiency for a range of empirically-relevant situations in which buyer–seller dynamics are decoupled, for example when entry of new sellers is delayed or stopped. Third, I test the theoretical findings against a simulated artificial market.     

Dynamics and determinants of credit risk discovery: Evidence from CDS and stock markets

This paper investigates the dynamics and drivers of credit risk discovery between stock and CDS markets in the US. Our research is distinguished from the existing literature in three aspects: 1) we employ an improved method to measure the information share; 2) we discover new drivers of credit risk discovery; and 3) we assess the impact of central clearing counterparty (CCP) on the CDS market. By using the generalized information share (GIS) by Lien and Shrestha (2014), we address the issue that the CDS and stock prices do not have one-to-one cointegration relation. The empirical results support the use of GIS instead of more conventional measures. We also find that eliminating transitory price components increases the information share of the CDS market in the earlier period of the sample. The economic condition and funding cost turn out to affect the information share of the CDS market negatively. Another interesting finding is that the CDS of investment grade firms possess higher information shares compared to speculative grade firms. Finally, CCP seems to reduce the information share of CDS, which suggests that the CDS market is driven largely by insider trading.     

Inflation and Welfare in Retail Markets: Prior Production and Imperfectly Directed Search

This paper considers the effect of monetary policy and inflation on retail markets: goods are dated and produced prior to being retailed; buyers direct their search on price and general quality; buyers’ match‐specific tastes are private information. Sellers set the same price for all buyers, some of whom do not value the good highly enough to buy it. The market economy is typically inefficient as a social planner would have the good consumed. Under free entry of sellers, the Friedman rule is optimal policy. When the upper bound on the number of participating sellers binds, moderate levels of inflation can be welfare improving.     

The market pricing of disability income insurance for individuals

Individuals' needs for disability income insurance dominate those for life insurance, yet relatively few buyers and sellers enter into disability contracts compared to life contracts. This phenomenon appears contradictory to the existence of a workably competitive market. This study examines the relation of disability income insurance prices to underlying contractual and insurer characteristics. Our results are supportive of a competitive market scenario. We observe a strong relation between prices and elimination periods, which is consistent with the presence of adverse selection. Our results have implications for how individuals should choose some policy and insurer characteristics, but they also suggest that buyers may need to be better informed about other pricing factors.