Financial Leverage,CEO Compensation,and Corporate Hedging: Evidence from Real Estate Investment Trusts

This paper studies the determinants of corporate hedging practices in the REIT industry between 1999 and 2001. We find a positive significant relation between hedging and financial leverage, indicating the financial distress costs motive for using derivatives in the REIT industry. Using estimates of the Black–Scholes sensitivity of CEO’s stock option portfolios to stock return volatility and the sensitivity of CEO’s stock and stock option portfolios to stock price, we find evidence to support managerial risk aversion motive for corporate hedging in the REIT industry. Our results indicate that CEO’s cash compensation and the CEO’s wealth sensitivity to stock return volatility are significant determinants of derivative use in REITs. We also document a significant positive relation between institutional ownership and hedging activity. Further, we find that probability of hedging is related to economies of scale in hedging costs.

New No-arbitrage Conditions and the Term Structure of Interest Rate Futures

Interest rate futures are basic securities and at the same time highly liquid traded objects. Despite this observation, most models of the term structure of interest rate assume forward rates as primary elements. The processes of futures prices are therefore endogenously determined in these models. In addition, in these models hedging strategies are based on forward and/or spot contracts and only to a limited extent on futures contracts. Inspired by the market model approach of forward rates by Miltersen, Sandmann, and Sondermann (J Finance 52(1); 409–430, 1997), the starting point of this paper is a model of futures prices. Using, as the input to the model, the prices of futures on interest related assets new no-arbitrage restrictions on the volatility structure are derived. Moreover, these restrictions turn out to prevent an application of a market model based on futures prices.     

A binomial approximation for two-state Markovian HJM models

This article develops a lattice algorithm for pricing interest rate derivatives under the Heath et al. (Econometrica 60:77–105, 1992) paradigm when the volatility structure of forward rates obeys the Ritchken and Sankarasubramanian (Math Financ 5:55–72) condition. In such a framework, the entire term structure of the interest rate may be represented using a two-dimensional Markov process, where one state variable is the spot rate and the other is an accrued variance statistic. Unlike in the usual approach based on the Nelson-Ramaswamy (Rev Financ Stud 3:393–430) transformation, we directly discretize the heteroskedastic spot rate process by a recombining binomial tree. Further, we reduce the computational cost of the pricing problem by associating with each node of the lattice a fixed number of accrued variance values computed on a subset of paths reaching that node. A backward induction scheme coupled with linear interpolation is used to evaluate interest rate contingent claims.     

Is It Possible to Construct Derivatives for the Paris Residential Market?

Index-based derivatives markets are fast developing in Europe, the US and Asia. Both valuation based and transactions based indices are used as bases for these derivatives contracts. This paper addresses the issue of revision effects on key index parameters, and their implications for derivatives pricing and questions whether these indices may be suitable for derivatives. More specifically, we address the issue of the robustness of the price level, mean, and volatility estimates for two repeat sales real estate price indices: the classical Weighted Repeat Sales (WRS) method and a Principal Component Analysis (PCA) factorial method, as elaborated in Baroni et al. (J Real Estate Res, 29(2):137–158, 2007). Our work is an extension of Clapham et al. (Real Estate Econ, 34(2):275–302, 2006), with the aim of helping judge the efficiency of such indices in designing real estate derivatives. We use an extensive repeat sales database for the Paris (France) residential market. We describe the dataset used and compute the parameters (index price level, trend and volatility) of the indices produced over the period 1982–2005. We then test the sensitivity of these two indices to revisions due to additional repeat-sales transactions information. Our analysis is conducted on the overall Paris market as well as on sub-markets. Our main conclusion is that even if the revision problem may cause substantial concern for the stability of key parameters that are used as inputs in the pricing of derivatives contracts, the order of magnitude of revision on derivatives pricing is not sufficient to deter market participants when it comes to products such a swap contract or insurance contracts against severe losses. We also show that WRS and PCA react differently to revision. The impact of index revision is non negligible in estimating the index price level for both indices. This result is consistent with existing literature for the US and Swedish markets. Price level revision causes moderate concern when trading products such as index futures or price insurance contracts, but could deter option like products. We show that managing this price level revision risk is similar to delta hedging in standard option pricing theory. We also find that although revision impact on index trend can be important, the WRS method seems more robust than PCA. However, the trend revision impact order of magnitude for contracts such as total return swaps is low. Finally, revision influence on volatility estimates seems to have a modest impact on derivatives, and according to the robustness of the volatility estimate, the PCA factorial index seems to fare relatively better than the WRS index. Hence, our findings show that the factorial index could better sustain volatility based derivatives. We also show that whatever the index, managing this volatility revision risk is similar to vega hedging in option pricing theory.

Pricing and Hedging of Multi Type Contracts under Multidimensional Risks in Incomplete Markets Modeled by General Itô SDE Systems

The HARA and CARA theory of pricing, and the theory of partial, yet the most conservative hedging, of a single (liquid) tradable derivative contract under multidimensionality of risks in incomplete markets, including markets with non-hedgable interest rate risks, was developed by the author in a recent paper. In the present paper this theory is extended to the general case of simultaneous pricing and hedging of multiple (types of) such contracts. The results are based on the generalization of the “fundamental matrix of derivatives pricing and hedging” to include multiple contracts. Some applications are discussed as well.     

Asset Pricing and Hedging in Financial Markets with Transaction Costs: An Approach Based on the Von Neumann–Gale Model

The paper develops a general discrete-time framework for asset pricing and hedging in financial markets with proportional transaction costs and trading constraints. The framework is suggested by analogies between dynamic models of financial markets and (stochastic versions of) the von Neumann–Gale model of economic growth. The main results are hedging criteria stated in terms of “dual variables” – consistent prices and consistent discount factors. It is shown how these results can be applied to specialized models involving transaction costs and portfolio restrictions.     

Nonparametric Estimation of Households’ Duration of Residence from Panel Data

In this paper we present a method that estimates the total duration of permanency for residential households starting from the lengths of stay declared by families in a micro panel survey. Throughout this study Spanish data are taken from the European Household Panel established between 1994 and 2001. The inference is based on those households surveyed in 1994 and onwards, including those who moved into their 1994-current residence after 1979. The follow-up of the household is conducted until the house is vacated or the sample observed in (year 2001) is finalized. We distinguish amongst owners, renters, and rent-free occupants or squatters (others), since these groups of households are known to exhibit a different pattern regarding residence time. Our approach for estimation is purely non parametric. This is an interesting feature, since we show that the renewal processes which represent the households’ mobility have a non-constant rate over the period 1980–1994 for owners and rent-free occupants. This fact invalidates the method of inference based on the equilibrium equation proposed by Anily et al. J Bus Econ Stat 17:373–381, 1999) in order to estimate the lengths of stay in each household.     

Exchange rate exposure and foreign exchange derivatives: do ineffective hedgers modify future derivatives use?

Recent studies examining the relationship between stock returns and exchange rate changes have provided evidence that the exchange rate exposure of non-financial companies is reduced by the use of foreign exchange derivatives. Building on such research, this study investigates whether past ineffective derivative hedging contributes to explaining future derivatives use. To the extent that companies monitor the effectiveness of their currency risk management practices, past ineffective hedgers can be expected to modify their future use of foreign exchange derivatives accordingly. In our study of 94 non-financial US multinationals, we provide evidence that the change in derivatives use from 1996–1998 to 1998–2000 can be explained in part by the ineffective hedging of currency risk in 1996–1998, controlling for variables associated with theories of optimal hedging. Additional analyses confirm that such primary results are robust to firm size, the level of foreign operations, and the use of derivatives to partially hedge currency risk. Our results imply that as exchange markets and risk management practices change, the use of derivatives to manage exchange rate risk also changes. Our contribution to this field of study is that we find evidence that past ineffective hedgers tend to increase their future use of FXDs.     

Coberturas financieras con derivados y su incidencia en el valor de mercado en empresas colombianas que cotizan en Bolsa

The financial theory (Modigliani & Miller, 1958) rises that risk management was not an issue for companies because shareholders could make their own hedging management through portfolio diversification; however, further studies conflict with that statement and show that corporate financial hedging improves performance and increases the value thereof (Ahmed, Azevedo, & Guney, 2014; Allayannis & Weston, 2001; Allayannis & Ofek, 1998). Efficient management of market risks, which is based on the use of financial derivatives, demands strategic and efficient managers in hedging that adds value to the firm, especially in against shocks and imbalances from a macroeconomic and financial nature. Empirical evidence analyzes the performance of the Q-Tobin as an indicator of the effect of hedging strategies of exchange rate associated to the market value. This paper aims to find evidence in Colombia on the effect of using derivatives in the market value of the firm. Its added value lies in the analysis made by economic sectors, identified by CIIU codes and grouped into 5 sectors (Agricultural, Commercial, Industrial or Manufacturing, Services and Construction). The methodology includes several models estimating regression panel data, using a Pooled regression with estimators of fixed and random effects by maximum likelihood estimator. In general, it was found a premium due to hedging, statistically and financially significant, for companies exposed to exchange rate risks that use derivatives by an average of 6.3% on the market value. Moreover, mixed results were found regarding the analyzed variables in the model.     

DURATION,IMMUNIZATION, AND HEDGING WITH INTEREST RATE FUTURES

The recent advent of the interest rate futures markets has greatly enriched the hedging opportunities of market participants faced with undesired interest rate risk. The variety of futures contracts presently spans a number of instruments with different risk, maturity, and coupon characteristics. This paper modifies the concept of duration and extends the duration hedging approach to cases where futures contracts are used as the hedging instrument. The derived hedge ratios take into account differences in coupon, maturity, and risk for three different regimes. Usage of these hedge ratios should lead to more efficient hedging of interest rate risk.     

Derivatives use and financial instrument disclosure in the extractives industry

This article documents the use and disclosure of derivatives in the Australian extractives industry. We find that derivatives are used by 23 per cent of our sample, with mitigation of commodity risk and foreign exchange risk being the most common purposes for which derivatives are used. The most common types of derivatives used in the sector for hedging purposes are forward rate agreements and options. Results indicate that derivative use is positively associated with financial risk and firm size. We also examine the relation between firm characteristics and the extent of financial instrument disclosure, using a disclosure index based on the additional requirements in IFRS 7 Financial Instruments: Disclosures. Empirical results reveal that large firms with higher leverage, which use derivatives, and are audited by a Big 4 auditor provide more extensive disclosure of financial instruments.     

Pricing credit card loans with default risks: a discrete-time approach

The main purpose of this paper is to modify the Jarrow and van Deventer model by using Das and Sundaram (Manag Sci 46:46–62, 2000) model to extend the Heath–Jarrow–Morton (J Finan Quant Anal 25:419–440, 1990) term-structure model to facilitate the consideration of default risks for pricing credit card loans. Furthermore, we derive closed-form solutions within a continuous-time framework. In addition, we also provide a numerical method for the evaluation of credit card loans within a discrete-time framework. Using the market segmentation argument to describe the characteristics of the credit card industry, our simulation results show that the shapes of the forward rate and forward spread (default risk premium) term structures play extremely important roles in determining the value of credit card loans.     

Alternative models for hedging yield curve risk: An empirical comparison

We test alternative models of yield curve risk by hedging US Treasury bond portfolios through note/bond futures. We show that traditional implementations of models based on principal component analysis, duration vectors and key rate duration lead to high exposure to model errors and to sizable transaction costs, thus lowering the hedging quality. Also, this quality randomly varies from one model and hedging problem to the other. We show that accounting for the variance of modeling errors substantially reduces both hedging errors and transaction costs for all considered models. Additionally, it leads to much more stable weights in the hedging portfolios and – as a result – to more homogeneous hedging quality. On this basis, error-adjusted principal component analysis is found to systematically and significantly outperform alternative models.     

基于VaR模型的最优套期保值比例探析——以美元远期套保为例

VaR模型被认为是兼顾投机套利与套期保值两大动机的衍生工具决策模型。国内文献对此讨论较少。基于其理论推导,可以归纳地认为VaR模型具有兼容性、一般性、"期权"特征和可操作性。以美元远期套保为例,研究发现,基于VaR模型的最优套保比较之传统最优套保比、最小方差最优套保比更有优势,能够解释中国企业运用衍生工具失败的原因。但据此推论,基于VaR模型确定最优套保比在实践中仍然存在一些问题,如非正态分布、现货头寸不确定、损益报告困难等。     

Stochastic dividend yields and derivatives pricing in complete markets

When an underlying yields a stochastic dividend yield, derivatives with linear payoff at their maturities that are written on this underlying have the following properties: (i) they have a unique price only if markets are complete; (ii) the dynamic strategies that replicate these contingent claims contain hedging components against the state variables in the economy; (iii) the prices of these derivatives will depend upon the dynamics of the market prices of risk even when markets are complete. Within an affine framework, we explicitly price forward and futures contracts with stochastic dividends. We also show that the quantitative impact of assuming that dividends are deterministic when they are actually stochastic is significant. JEL Classification G12 · G13     

LIBOR and swap market models and measures

A self-contained theory is presented for pricing and hedging LIBOR and swap derivatives by arbitrage. Appropriate payoff homogeneity and measurability conditions are identified which guarantee that a given payoff can be attained by a self-financing trading strategy. LIBOR and swap derivatives satisfy this condition, implying they can be priced and hedged with a finite number of zero-coupon bonds, even when there is no instantaneous saving bond. Notion of locally arbitrage-free price system is introduced and equivalent criteria established. Stochastic differential equations are derived for term structures of forward libor and swap rates, and shown to have a unique positive solution when the percentage volatility function is bounded, implying existence of an arbitrage-free model with such volatility specification. The construction is explicit for the lognormal LIBOR and swap “market models”, the former following Musiela and Rutkowski (1995). Primary examples of LIBOR and swap derivatives are discussed and appropriate practical models suggested for each.     

Quadratic hedging in affine stochastic volatility models

We determine the variance-optimal hedge for a subset of affine processes including a number of popular stochastic volatility models. This framework does not require the asset to be a martingale. We obtain semiexplicit formulas for the optimal hedging strategy and the minimal hedging error by applying general structural results and Laplace transform techniques. The approach is illustrated numerically for a Lévy-driven stochastic volatility model with jumps as in Carr et al. (Math Finance 13:345–382, 2003).      

No-arbitrage in Discrete-time Markets with Proportional Transaction Costs and General Information structure

We discuss the no-arbitrage conditions in a general framework for discrete-time models of financial markets with proportional transaction costs and general information structure. We extend the results of Kabanov et al. (Finance Stoch 6(3):371–382, 2002; Finance Stoch 7(3):403–411, 2003) and Schachermayer (Math Finance 14(1):19–48, 2004) to the case where bid-ask spreads are not known with certainty. In the “no-friction” case, we retrieve the result of Kabanov and Stricker (Preprint 2003). Additionally, we propose a new modelization based on simple orders which appears to be powerful whatever the information structure is.