Household characteristics and the change of financial risk tolerance during the financial crisis in the United States

This study examines how household financial risk tolerance is affected during the period of 2007 and 2009, which covered the eve and trough of the financial crisis in the United States and what types of households are associated with the change of risk tolerance. Risk tolerance is measured by two objective indicators, narrowly and broadly defined stock ownership, and a subjective indicator, risk taking attitude. Using panel data from 2007 to 2009 Survey of Consumer Finances, results show that during the financial crisis, the households in general are more risk averse, indicated by withdrawing from stock markets and holding a less risk taking attitude. In addition, Black and Hispanic households are more likely and households with higher education are less likely to withdraw from stock markets. Older households are less likely to change in risk tolerance during the financial crisis, as are richer households. The findings show panel data could generate novel results and contribute to the literature of financial risk tolerance.     

Alternative tilts for nonparametric option pricing

This study generalizes the nonparametric approach to option pricing of Stutzer, M. (1996) by demonstrating that the canonical valuation methodology introduced therein is one member of the Cressie–Read family of divergence measures. Alhough the limiting distribution of the alternative measures is identical to the canonical measure, the finite sample properties are quite different. We assess the ability of the alternative divergence measures to price European call options by approximating the risk‐neutral, equivalent martingale measure from an empirical distribution of the underlying asset. A simulation study of the finite sample properties of the alternative measure changes reveals that the optimal divergence measure depends upon how accurately the empirical distribution of the underlying asset is estimated. In a simple Black–Scholes model, the optimal measure change is contingent upon the number of outliers observed, whereas the optimal measure change is a function of time to expiration in the stochastic volatility model of Heston, S. L. (1993). Our extension of Stutzer's technique preserves the clean analytic structure of imposing moment restrictions to price options, yet demonstrates that the nonparametric approach is even more general in pricing options than originally believed. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:983–1006, 2010     

Cross‐commodity analysis and applications to risk management

The understanding of joint asset return distributions is an important ingredient for managing risks of portfolios. Although this is a well‐discussed issue in fixed income and equity markets, it is a challenge for energy commodities. In this study we are concerned with describing the joint return distribution of energy‐related commodities futures, namely power, oil, gas, coal, and carbon. The objective of the study is threefold. First, we conduct a careful analysis of empirical returns and show how the class of multivariate generalized hyperbolic distributions performs in this context. Second, we present how risk measures can be computed for commodity portfolios based on generalized hyperbolic assumptions. And finally, we discuss the implications of our findings for risk management analyzing the exposure of power plants, which represent typical energy portfolios. Our main findings are that risk estimates based on a normal distribution in the context of energy commodities can be statistically improved using generalized hyperbolic distributions. Those distributions are flexible enough to incorporate many characteristics of commodity returns and yield more accurate risk estimates. Our analysis of the market suggests that carbon allowances can be a helpful tool for controlling the risk exposure of a typical energy portfolio representing a power plant. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:197–217, 2009     

RISK-AVERSION BEHAVIOR IN CONSUMPTION/INVESTMENT PROBLEMS1

In this paper, we study the risk-aversion behavior of an agent in the dynamic framework of consumption/investment decision making that allows the possibility of bankruptcy. Agent's consumption utility is assumed to be represented by a strictly increasing, strictly concave, continuously differentiable function in the general case and by a HARA-type function in the special case treated in the paper. Coefficients of absolute and relative risk aversion are defined to be the well-known curvature measures associated with the derived utility of wealth obtained as the value function of the agent's optimization problem. Through an analysis of these coefficients, we show how the change in agent's risk aversion as his wealth changes depends on his consumption utility and the other problem parameters, including the payment at bankruptcy. Moreover, in the HARA case, we can conclude that the agent's relative risk aversion is nondecreasing with wealth, while his absolute risk aversion is decreasing with wealth only if he is sufficiently wealthy. At lower wealth levels, however, the agent's absolute risk aversion may increase with wealth in some cases.     

Minimum variance cross hedging under mean‐reverting spreads,stochastic convenience yields,and jumps: Application to the airline industry

Exchange traded futures contracts often are not written on the specific asset that is a source of risk to a firm. The firm may attempt to manage this risk using futures contracts written on a related asset. This cross hedge exposes the firm to a new risk, the spread between the asset underlying the futures contract and the asset that the firm wants to hedge. Using the specific case of the airline industry as motivation, we derive the minimum variance cross hedge assuming a two‐factor diffusion model for the underlying asset and a stochastic, mean‐reverting spread. The result is a time‐varying hedge ratio that can be applied to any hedging horizon. We also consider the effect of jumps in the underlying asset. We use simulations and empirical tests of crude oil, jet fuel cross hedges to demonstrate the hedging effectiveness of the model. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:736–756, 2009     

A maximal affine stochastic volatility model of oil prices

This study develops and estimates a stochastic volatility model of commodity prices that nests many of the previous models in the literature. The model is an affine three‐factor model with one state variable driving the volatility and is maximal among all such models that are also identifiable. The model leads to quasi‐analytical formulas for futures and options prices. It allows for time‐varying correlation structures between the spot price and convenience yield, the spot price and its volatility, and the volatility and convenience yield. It allows for expected mean‐reversion in the short term and for an increasing expected long‐term price, and for time‐varying risk premia. Furthermore, the model allows for the situation in which options' prices depend on risk not fully spanned by futures prices. These properties are desirable and empirically important for modeling many commodities, especially crude oil. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:101–133, 2010     

VIX option pricing

Substantial progress has been made in developing more realistic option pricing models for S&P 500 index (SPX) options. Empirically, however, it is not known whether and by how much each generalization of SPX price dynamics improves VIX option pricing. This article fills this gap by first deriving a VIX option model that reconciles the most general price processes of the SPX in the literature. The relative empirical performance of several models of distinct interest is examined. Our results show that state‐dependent price jumps and volatility jumps are important for pricing VIX options. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:523–543, 2009     

Modeling preference evolution in discrete choice models: A Bayesian state-space approach

We develop discrete choice models that account for parameter driven preference dynamics. Choice model parameters may change over time because of shifting market conditions or due to changes in attribute levels over time or because of consumer learning. In this paper we show how such preference evolution can be modeled using hierarchial Bayesian state space models of discrete choice. The main feature of our approach is that it allows for the simultaneous incorporation of multiple sources of preference and choice dynamics. We show how the state space approach can include state dependence, unobserved heterogeneity, and more importantly, temporal variability in preferences using a correlated sequence of population distributions. The proposed model is very general and nests commonly used choice models in the literature as special cases. We use Markov chain monte carlo methods for estimating model parameters and apply our methodology to a scanner data set containing household brand choices over an eight-year period. Our analysis indicates that preferences exhibit significant variation over the time-span of the data and that incorporating time-variation in parameters is crucial for appropriate inferences regarding the magnitude and evolution of choice elasticities. We also find that models that ignore time variation in parameters can yield misleading inferences about the impact of causal variables. This paper is based on the first author's doctoral dissertation.     

Strategic reference points in family firms

Family firms are classically seen as risk averse organizations, and this is evident in their generally lower R&D investments compared to non-family firms. Recent research, however, challenges this predominant view and suggests that family firms can embrace higher strategic risk when faced with threats to their family-centered goals. Still, the internal and external conditions that drive variations in the strategic risk taking behaviors of family firms are little known and understood. This article adds to this literature by developing and testing a conceptual model of strategic risk taking that incorporates behavioral theory, family business literature, and the logic of the strategic reference point theory. With recognition that the interplay between family and economic goals determines heterogeneity in strategic actions of family firms, this model suggests that family managers respond differentially to the feedback information regarding internal and external reference points, and consequently identifies key drivers of variation in the R&D investment behavior of family firms. By examining the pattern in R&D investments of 437 Spanish private manufacturing firms from 2000 to 2006, this study shows how strategic inputs, strategic outputs, and external benchmarks produce variations in strategic decisions about R&D investments in family and non-family firms. The findings offer insights into how internal and external reference points are considered in family firms’ decision making, thereby contributing a deeper understanding into the circumstances under which family goals cope or collide with the economic goals of the firm, and how this influences strategic risk decisions in family firms.     

Static hedging and model risk for barrier options

The article investigates how sensitive different dynamic and static hedge strategies for barrier options are to model risk. It is found that using plain‐vanilla options to hedge offers considerable improvements over usual Δ hedges. Further, it is shown that the hedge portfolios involving options are relatively more sensitive to model risk, but that the degree of misspecification sensitivity is robust across commonly used models. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:449–463, 2006     

Positive and Negative Corporate Social Responsibility, Financial Leverage, and Idiosyncratic Risk

Existing research on the financial implications of corporate social responsibility (CSR) for firms has predominantly focused on positive aspects of CSR, overlooking that firms also undertake actions and initiatives that qualify as negative CSR. Moreover, studies in this area have not investigated how both positive and negative CSR affect the financial risk of firms. As such, in this research, the authors provide a framework linking both positive and negative CSR to idiosyncratic risk of firms. While investigating these relationships, the authors also analyze the moderating role of financial leverage of firms. Overall, analysis of secondary information for firms from multiple industries over the years 2000–2009 shows that CSR has a significant effect on the idiosyncratic risk of firms, with positive CSR reducing risk and negative CSR increasing it. Results also show that the reduction in risk from positive CSR is not guaranteed, with firms having high levels of financial leverage witnessing lower idiosyncratic risk reduction.     

Risk management with options and futures under liquidity risk

Futures hedging creates liquidity risk through marking to market. Liquidity risk matters if interim losses on a futures position have to be financed at a markup over the risk‐free rate. This study analyzes the optimal risk management and production decisions of a firm facing joint price and liquidity risk. It provides a rationale for the use of options on futures in imperfect capital markets. If liquidity risk materializes, the firm sells options on futures in order to partly cover this liquidity need. It is shown that liquidity risk reduces the optimal hedge ratio and that options are not normally used before a liquidity need actually arises. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:297–318, 2009     

Bayesian estimation of the random coefficients logit from aggregate count data

The random coefficients logit model is a workhorse in marketing and empirical industrial organizations research. When only aggregate data are available, it is customary to calibrate the model based on market shares as data input, even if the data are available in the form of aggregate counts. However, market shares are functionally related to model primitives in the random coefficients model whereas finite aggregate counts are only probabilistic functions of these model primitives. A recent paper by Park and Gupta (Journal of Marketing Research, 46(4), 531–543 2009) stresses this distinction but is hamstrung by numerical problems when demonstrating its potential practical importance. We develop Bayesian inference for the likelihood function proposed by Park and Gupta (Journal of Marketing Research, 46(4), 531–543 2009), sidestepping the numerical problem encountered by these authors. We show how taking account of the amount of information about shares by modeling counts directly results in improved inference.     

Gesundheitsfonds — effizientere Steuerung des Gesundheitssystems?

In 2009 the German central health fund was implemented. It was the result of a political compromise. One political party intended to equalise the risk structure among 130 different health care funds, and the other wanted to intensify competition and to improve efficiency among the different health insurances. The fund is flanked by a health-based risk adjustment and is aimed at sustainably ensuring the funding of the statutory health insurance system. It also constitutes the basis for competition among statutory health care funds, securing quality and efficiency in health care provision. To cover additional expenditures, health insurers had to charge flatrate premiums. A new law, which will come into effect in January 2015, will oblige health insurers to charge income related contributions. It is not clear how this will change competition among insurers. The federal government will not need to finance subsidies to low income individuals anymore. Income redistribution will only take place within the public health insurance system, exempting the privately insured and public servants from supporting low income individuals. The authors claim that the health care fund will not succeed in its aim of securing a sustainable financial basis for the statutory health insurance system. Most of the authors argue that there is no evidence of greater efficiency thus far, and they offer proposals on how to achieve improved performance.     

Market timing of CTAs: An examination of systematic CTAs vs. discretionary CTAs

This study uses a set of return‐based factors to explore market (return and volatility) timing ability of commodity trading advisors (CTAs). Unlike previous research, we use return‐based factors that are related to the futures markets in which most CTAs trade. This leads to higher explanatory power for our multifactor model. Our approach allows us to test for the presence of market timing in multiple markets. Accordingly, we are able to identify the markets in which CTAs may have market timing ability. We find that systematic CTAs are generally more skilled at market timing than discretionary CTAs, with the latter having slightly better overall risk‐adjusted performance during our study period: January 1994 to December 2004. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:1067–1099, 2009     

Option implied cost of equity and its properties

The estimation of the cost of equity capital (COE) is one of the most important tasks in financial management. Existing approaches compute the COE using historical data, i.e. they are backward‐looking methods. This study derives a method to calculate forward‐looking estimates of the COE using the current market prices of stocks and stock options. Our estimates of the COE reflect the expectation of the market investors about the COE during the life of the investment project. We test empirically our method and compare it with the Fama/French (1993) three‐factor model for the S&P 100 firms. The empirical results indicate that our COE estimates (1) are plausible and stable over the years as required by appropriate discount rates for capital budgeting, (2) yield an equity risk premium close to the market equity risk premium reported by Fama E. F. and French K. R. (2002), (3) generate strong return‐risk relationships, and (4) are significantly related with investor sentiment. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29: 599–629, 2009     

Service,investment, and risk management performance in commercial banks

This article characterizes the production process of commercial banks as three components: service activities, investment-related activities, and risk management activities, and assesses performance for these components, including service efficiency, investment efficiency, and risk management efficiency. With data from 36 Taiwanese commercial banks in the fiscal year 2009, we demonstrated how all the efficiency indices can be estimated. The major empirical findings are that the correlation coefficients between each pair of efficiency indices are positive, so the banks that make an effort in one activity for efficiency improvement could also inspire other activities to improve performance. The non-performing loan ratio can adversely influence efficiency. The establishment of financial holding companies can push the Taiwanese banking system to be more efficient than the privatization reform.     

Dealing with downside risk in a multi‐commodity setting: A case for a “Texas hedge”?

This study analyzes the problem of multi‐commodity hedging from the downside risk perspective. The lower partial moments (LPM₂)‐minimizing hedge ratios for the stylized hedging problem of a typical Texas panhandle feedlot operator are calculated and compared with hedge ratios implied by the conventional minimum‐variance (MV) criterion. A kernel copula is used to model the joint distributions of cash and futures prices for commodities included in the model. The results are consistent with the findings in the single‐commodity case in that the MV approach leads to over‐hedging relative to the LPM₂‐based hedge. An interesting and somewhat unexpected result is that minimization of a downside risk criterion in a multi‐commodity setting may lead to a “Texas hedge” (i.e. speculation) being an optimal strategy for at least one commodity. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:290–304, 2010     

Risk premia in forward exchange rates: systematic or unsystematic?

International traders frequently use forward exchange transactions to hedge their cash flows in foreign currencies. A key issue is whether the forward rates are efficiently priced. There is evidence of time-varying risk premia in forward exchange rates. Are these risk premia systematic or unsystematic? This article uses a market model to explain risk, implying that the risk premium in the forward rate varies pari passu with the beta of the return to speculative forward positions. Assuming the unobserved risk premium is proportional to the forward premium allows testing the predicted relations; the data reject the joint hypotheses of the model and systematic risk. In terms of a simple factor model explaining the covariation of the forward premium, the risk premium, and the expected percentage rate of change of the spot exchange rate, the assumption that the forward premium and the risk premium are proportional can be relaxed without changing the empirical results.     

Valuation of housing index derivatives

This study analyzes the valuation of housing index derivatives traded on the Chicago Mercantile Exchange (CME). Specifically, to circumvent the nontradability of housing indices, we propose and implement an equilibrium valuation framework. Assuming a mean-reverting aggregate dividend process and a utility function characterized by constant relative risk aversion, we show that the value of a housing index derivative depends only on parameters characterizing the underlying housing index, the endogenized interest rate and their correlation. We also analytically and numerically examine risk premiums for the CME futures and options and obtain three important findings. First, risk premiums are significant for all contracts with maturities longer than one year. Second, the expected growth rate of the underlying index is the key determinant for risk premiums. Third, risk premiums can be positive or negative, depending on whether the expected growth rate of the underlying index is higher or lower than the risk-free yield-to-maturity. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:660–688, 2010