Corporate Real Estate and Stock Market Performance

An interesting question in corporate real estate literature is whether real estate can improve the stock market performance of property-intensive non-real estate firms. Using a data set comprising 75 non-real estate corporations that own at least 20 percent properties, this paper empirically assesses and compares the pair-wise return, total risk, systematic risk and Jensen abnormal return performance of composite (with real estate) and hypothetical business (without real estate) firms. We employed Morgan Stanley Capital International world equity index instead of a local market index to provide some insights into the performance of the local market relative to the global market during the 1997–2001 volatile periods experienced by many Asian countries. Our results suggest the inclusion of real estate in a corporate portfolio appears to be associated with lower return, higher total risk, higher systematic risk and poorer abnormal return performance. It is therefore likely that non-real estate firms own properties for other reasons in addition to seeking improvement in their stock market performance. Further research is needed to explore the main factors contributing to corporate real estate ownership by non-real estate firms.     

Heterogeneity in Financial Market Participation: Appraising its Implications for the C-CAPM

This paper presents empirical evidence that accounting for heterogeneity in financial market participation is important for evaluating the empirical performance of the Consumption-based Capital Asset Pricing Model (C-CAPM). Using the US Consumer Expenditure Survey as a common testing ground, I re-assess three well-known characterizations of the equity premium puzzle (i) the inconsistency of the representative agent's IMRS with Hansen and Jagannathan bounds; (ii) Mehra and Prescott's calibration of a large representative agent's risk aversion; (iii) Hansen and the Singleton's large structural estimates of the preference parameters based on aggregate data. In all three cases, the estimates of risk aversion conditional upon financial market participation are not as far from reasonable values as the corresponding unconditional ones. The differences suggest that part of the equity premium puzzle can be accounted for by the use of a representative agent assumption rather than a more appropriate "representative stockholding agent assumption.     

Cointegration and causal relations in mortgage and capital markets

In years past, credit rationing resulted in the primary mortgage market being segmented from national capital markets. Some research suggests that the deregulation of depository institutions in the early 1980s along with the exponential growth in the secondary mortgage market, has resulted in a primary mortgage market more fully integrated with national capital markets. This study employs Granger Causality to test primary and secondary mortgage market segmentation. Our findings support the conclusion that causality is unidirectional from the treasury market to the primary and secondary mortgage market. The results also indicate that mortgage market speed of adjustment increased significantly by the end of the decade.     

The impact of settlement period on sales price

This study is an empirical investigation of the impact of settlement period on sales price while controlling for marketing period and standard explanatory variables. The hypothesized positive relationship between settlement period and sales price is confirmed by the results of this study. The estimated coefficient on settlement period is 0.0008 meaning that our market, on average, exacts a premium of 0.08 percent per day of settlement period beyond a norm of 60 days. The estimated coefficient on marketing period (a control variable) is –0.0003 meaning that our market, on average, requires a discount of 0.03 percent per day of marketing period. Our findings show the relative importance of settlement period in making real estate pricing decisions.     

The Effect of Mortgage Price and Default Risk on Mortgage Spreads

Variations over time in mortgage yield spreads should reflect changes in the underlying prepayment option value; moreover, the relationship between mortgage yield spreads and interest rate dynamics should weaken as the value of the borrowers prepayment option declines. We verify this hypothesis through an empirical analysis of residential mortgage yield spread behavior, and we also present evidence that the strength of the relationship between mortgage spreads and interest rate dynamics weakens (strengthens) as the level of default risk increases (decreases). This result is consistent with the competing risks effect between a borrowers option to prepay or default. Our results demonstrate the importance of accounting for mortgage price discount to par as well as default risk when developing time series of mortgage yields.     

Failed delivery and daily Treasury bill returns

If the seller of a Treasury bill does not provide timely and correct delivery instructions to the clearing bank, the bank does not deliver the security. Furthermore, the seller is not paid until this failed delivery is rectified. Since the purchase price is not changed, these fails generate interest-free loans from the seller to the buyer. This article studies the effect of failed delivery on Treasury bill prices. We find that investors bid prices to a premium to reflect the possibility of obtaining the interest-free loans that fails represent. This premium is a function of the opportunity cost of the fail. We also find that the bid-ask spread varies directly with the length of the fail. We rule out that our results are due to liquidity premiums, or to a general weekly pattern in short-term interest rates or the bid-ask spread.     

Supervisor and Market Analysts: What Should Research be Seeking?

This article is primarily directed towards examining the desirability of incorporating market signals in the process of supervision of commercial banks by regulators and insurers. But the ideas developed here can also be applied to the general problem of using market information to assess the solvency and safety of any financial or non-financial institution.Market prices and yields of securities anticipate actions by regulators, central banks, and other players due to the fact that such actions may materially influence the risk and the expected return associated with investment decisions pertaining to those securities. It is well known that the yield curve of government securities such as T-bills, T-notes and T-bonds reflect the market's consensus regarding the actions that the Federal reserve may take as they pertain to the valuation of such securities. The extent to which the market has already discounted the future actions of the central bank will no doubt play a role in the way in which the central bank may think about its actions, its actual effect and how it relates to its intended effects.The extent to which market prices can provide useful guides depends on the underlying market structure and the practices in the industry.While markets may do lot of the hard work in aggregating and incorporating future actions, the task of supervision and regulation can never be put on automatic pilot. Ideally, supervisory policies should effectively combine the market signals with initiatives that serve to maintain the safety and the soundness of the underlying markets. I will begin by exploring the extent to which equity prices may be used as a signal of bank credit risk. I will then explore the advantages and disadvantages of using subordinated debt securities to derive a market signal.     

Conduit Entities: Implications of Indirect Tax-Efficient Financing Structures for Real Investment

As well known, companies shift income from high to low tax jurisdictions. Typically, profit shifting is achieved by direct financing structures whereby companies use debt finance in the high tax entity and equity finance in the low tax entity. However, certain tax policies can lead to indirect financing structures whereby a conduit entity provides an opportunity to achieve at least two deductions for interest expenses for an investment made in the host country. The effect of direct and indirect financing structures on real investment is compared.     

What is the Truth About the Scale of Japanese Banks' Bad Debts? Is the Situation Manageable?

In January 1998, the Japanese Ministry of Finance (MoF, 1998) released figures which suggested that the Japanese banking industry';s bad debts might be as high as ¥77 trillion (since revised upward to ¥87.5 trillion, if cooperative-type institutions are included; Financial Supervisory Agency (FSA), 1998). This compared with the previous official estimate of ¥28 trillion. The revelation was designed to do three things: (1) to convince investors, at home and abroad, who had long suspected that the true level of bad debts was much higher than the authorities (and the banks) were willing to admit to, that the authorities were sincere in their quest to enhance disclosure by local financial intermediaries; (2) to stifle opposition to the government's plans to use up to ¥30 trillion (since increased to ¥60 trillion) of public funds to stabilize the financial system¹ by underlining the gravity of the situation facing the Japanese economy; and (3) to pave the way for the introduction of more transparent reporting by the banks in April 1998 when a regime of prompt corrective action (PCA)² was scheduled to commence. This article explains the evolution of bad debt disclosure by the Japanese banking industry and assesses the significance of the latest figures. In particular, it highlights the extent to which accounting forbearance has been, and continues to be, used to mask the true level of the banks' bad debts and refutes the claim that the industry's bad debt burden peaked in 1995. The banking industry's ability to handle the continuing bad debt problem, in the face of a significant impairment of economic capital and the market's relentless drive for full disclosure and transparency, also is assessed.     

On Transitory Earnings

The paper develops a concept of transitory earnings and contrasts this source of earnings to core (or recurring) earnings. It is shown that any two of the following three attributes of transitory earnings imply the third: (i) forecasting irrelevance with respect to next-period aggregate earnings, (ii) value irrelevance, and (iii) unpredictability. The paper makes the case that the current dirty surplus items make sense, especially if one expands the valuation perspective to also allow for agency considerations.     

Commercial Mortgage Default: A Comparison of Logit with Radial Basis Function Networks

This article explores the use of artificial neural networks in the modeling of foreclosure of commercial mortgages. The study employs a large set of individual loan histories previously used in the literature of proportional hazard models on loan default. Radial basis function networks are trained (estimated) using the same input variables as those used in the logistic. The objective is to demonstrate the use of networks in forecasting mortgage default and to compare their performance with that of the logistic benchmark in terms of prediction accuracy. Neural networks are shown to be superior to the logistic in terms of discriminating between good and bad loans. The study performs sensitivity analysis on the average loan and offers suggestions on further improving prediction of defaulting loans.     

Financial Turbulence and the Japanese Main Bank Relationship

Under the Japanese main bank relationship, a bank holds equity in a firm and plays a leading role in its decision-making and financing. This may leave a firm dependent on its main bank for financing due to its information advantage over other potential lenders. This dependency may be particularly severe during episodes of financial turbulence. We examine the sensitivity of returns on portfolios of Japanese firm equity to the returns of their main banks using a three-factor arbitrage-pricing model. We find no significant dependence when coefficient values are held constant over the entire sample. However, the data strongly suggest a structural break in the relationship subsequent to the last quarter of 1997, a turbulent period for Japanese financial markets. When a structural break is introduced, main bank sensitivity increases after the break, usually to significantly positive levels.     

A New Approach to Group Structure, Burden Sharing, and the Equilibrium Provision of Public Goods

In the received model of the voluntary provision of a pure public good, the usual practice is to proceed from assumptions about the group characteristics to inferences about an implied outcome. The approach advocated in this paper reverses the traditional direction. Assuming a Nash equilibrium, we ask how to characterize the diverse set of group characteristics which will support it. Approaching the problem from this angle we define three crucial characteristics of a group-equilibrium: consumer's free rider inducing supply, zero contribution-inducing wealth and voluntary surplus tribute which is the amount by which a person's actual income exceeds his/her zero-contribution inducing wealth. Defining these indicators we show how they form the foundation of a complete mapping between the distribution of individual characteristics of a group, and equilibrium public good supply. Certain questions such as the interaction between size of the group and heterogeneity of incomes and tastes not yet adequately addressed are shown to yield easily to this approach.     

Comparing Alternative Hedge Accounting Standards: Shareholders' Perspective

We study the economic consequences of alternative hedge accounting rules in terms of managerial hedging decisions and wealth effects for shareholders. The rules we consider include the fair-value and cash-flow hedge accounting methods prescribed by the recent SFAS No. 133. We illustrate that the accounting method used influences the manager's hedge decision. We show that under no-hedge accounting, the hedge choice is different from the optimal economic hedge the firm would make under symmetric and public information. However, under a certain definition of fair-value hedge accounting, the hedging decision preserves the optimal economic hedge. We then demonstrate that long-term and future shareholders prefer a certain definition of fair-value hedge accounting to no-hedge accounting, while short-term shareholders prefer either approach depending on risk preferences and the level of uncertainty. We speculate about circumstances in which a manager would choose not to adopt fair-value hedge accounting when he has the option not to do so.     

Optimal Loan Interest Rate Contract Design

This paper analyzes optimal loan interest rate contracts under conditions of risky, symmetric information for one-period (static) and multi-period (dynamic) models. The optimal loan interest rate depends upon the volatility of, and co-variation among the market interest rate, borrower collateral, and borrower income, as well as the time horizon and the risk preferences of lenders and borrowers. For a risk-averse borrower with stochastic collateral, variable interest rate contracts are, in general, Pareto optimal. For plausible assumptions, the optimal loan interest rate for the multi-period model often exhibits muted responses to changes in market interest rates, making fixed rate loans a reasonable approximation for the optimal loan. Hence, in the absence of optimal contracts, long-term (short-term) borrowers tend to prefer fixed rate (variable) contracts.     

Index Option Pricing Models with Stochastic Volatility and Stochastic Interest Rates

This paper specifies a multivariate stochasticvolatility (SV) model for the S & P500 index and spot interest rateprocesses. We first estimate the multivariate SV model via theefficient method of moments (EMM) technique based on observations ofunderlying state variables, and then investigate the respective effects of stochastic interest rates, stochastic volatility, and asymmetric S & P500 index returns on option prices. We compute option prices using both reprojected underlying historical volatilities and the implied risk premiumof stochastic volatility to gauge each model's performance through direct comparison with observed market option prices on the index. Our major empirical findings are summarized as follows. First, while allowing for stochastic volatility can reduce the pricing errors and allowing for asymmetric volatility or leverage effect does help to explain the skewness of the volatility smile, allowing for stochastic interest rates has minimal impact on option prices in our case. Second, similar to Melino and Turnbull (1990), our empirical findings strongly suggest the existence of a non-zero risk premium for stochastic volatility of asset returns. Based on the implied volatility risk premium, the SV models can largely reduce the option pricing errors, suggesting the importance of incorporating the information from the options market in pricing options. Finally, both the model diagnostics and option pricing errors in our study suggest that the Gaussian SV model is not sufficientin modeling short-term kurtosis of asset returns, an SV model withfatter-tailed noise or jump component may have better explanatory power.     

Diversified Portfolios in Continuous Time

We study a financial market containing an infinite number of assets, where each asset price is driven by an idiosyncratic random source as well as by a systematic noise term. Introducing asymptotic assets which correspond to certain infinitely well diversified portfolios we study absence of (asymptotic) arbitrage, and in this context we obtain continuous time extensions of atemporal APT results. We also study completeness and derivative pricing, showing that the possibility of forming infinitely well diversified portfolios has the property of completing the market. It also turns out that models where the all risk is of diffusion type are qualitatively quite different from models where one risk is of diffusion type and the other is of Poisson type. We also present a simple martingale based theory for absence of asymptotic arbitrage.     

The Double Dividend of Postponing Retirement

Early retirement seems to plague social security systems in a number of European countries. In this paper we argue that delaying retirement may have two positive effects: it is likely to partially restore the financial balance of the system, and it may foster redistribution among retirees. To obtain such a double dividend, the benefit rule of the initial social security scheme must have the following two characteristics. First, it operates redistribution within generations. Second, it is biased and induces early retirement.     

A General Theorem on the Comparative Statics of Changes in Risk

In this paper, the concept of absolutely riskier than is introduced to generalize Gollier's (Journal of Economic Theory, 66, 522–535) necessary and sufficient conditions for the comparative statics of a change in risk for risk averters. The restrictive assumption that the payoff function is monotonic in the risk is relaxed. The policymaker's choice problem, the newsboy problem, and a farmer's example are used to illustrate how easily the monotonicity assumption is violated. Finally, some important properties of the concept of absolutely riskier than, such as its relation with the concept of second-order stochastic dominance, are illustrated using the farmer's example.     

Stochastic CVP Analysis with Economic Demand and Cost Functions

The analysis focuses on key concepts associated with the extensive CVP under uncertainty literature which has developed since the seminal contribution by Jaedicke and Robichek (1964). For the most part the previous literature has not incorporated economic functions relating production quantity to price and/or average cost. This model developed herein incorporates a linear demand function and a quadratic average cost function. Explicit solutions are found for five special quantities: (1) the lowest quantity which sets breakeven probability equal to the minimum acceptable level, (2) the quantity which maximizes breakeven probability, (3) the quantity which maximizes a Cobb-Douglas utility function defined on expected profits and breakeven probability, (4) the quantity which maximizes expected profits, and (5) the highest quantity which sets breakeven probability equal to the minimum acceptable level. Comparative statics effects are determined of the various model parameters on the five special quantities. A CVP possibilities graph is developed showing attainable combinations of expected profits and breakeven probability. Possible applications of the model are discussed.