Pricing futures on geometric indexes: A discrete time approach

Several futures contracts are written against an underlying asset that is a geometric, rather than arithmetic, index. These contracts include: the US Dollar Index futures, the CRB-17 futures, and the Value Line geometric index futures. Due to the geometric averaging, the standard cost-of-carry futures pricing formula is improper for pricing these futures contracts. We assume that asset prices are lognormally distributed, and capital markets are complete. Using the concepts of equivalent martingale measure and the risk-neutral valuation relationships in conjunction with discrete time methodology, we derive closed-form pricing formulas for these contracts. Our pricing formulas are consistent with the ones obtained via a continuous time paradigm.

Hedging House Price Risk with CME Futures Contracts: The Case of Las Vegas Residential Real Estate

Until the recent introduction of real estate futures on the Chicago Mercantile Exchange (CME), there have been few opportunities to manage house price risk. This paper examines whether house price risk can be effectively hedged in Las Vegas, one of the CME contract cities. The analysis considers hedging from the viewpoint of real estate investment groups, mortgage portfolio investors, builder/developers and individual homeowners. For investment groups and mortgage holders holding a mix of new and existing home assets, CME futures would have reduced house price risk by more than 88% over the 1994–2006 period. Similarly, homeowners implicitly hedging price volatility of existing homes also would have fared well over the sample period. However, builder/developers worried about new home price appreciation would have been much less successful in managing their risk. One important caveat, minimum variance hedge ratios change over time and may cause hedge performance to suffer.

House Prices and Bubbles in New Zealand

This paper studies actual (real) house prices relative to fundamental (real) house values in New Zealand for the period 1970–2005. Utilizing a dynamic present value model, we find disparities between actual and fundamental house prices in the early 1970s and 1980s and from 2000 to date. We model the bubble component that is related to fundamentals (the intrinsic component), making it possible to highlight whether a bubble still exists after that component is accounted for. We then analyze any remaining bubble to detect any momentum behavior. Much of the overvaluation of the housing market is found to be due to price dynamics rather than an overreaction to fundamentals.

Index Revision,House Price Risk,and the Market for House Price Derivatives

It is widely recognized that options and futures markets for housing can reduce and manage the risks inherent in consumers’ large investments in housing equity. The integrity of such markets depends, however, upon the use of transparent and replicable benchmarks for house prices and settlement values. In the USA, a series of state and metropolitan indexes have been produced by a government agency (the US Office of Housing Enterprise Oversight, OFHEO), and they have been widely disseminated for over a decade. By construction, the entire historical path of each of these indexes is, in principle, subject to revision quarterly, that is, every time the index is recalculated and data are published. This paper provides the first analysis of the magnitude and bias of these revisions, and it analyzes their systematic effects on the settlement prices in housing options markets. The paper considers the implications of these magnitudes for the development of risk-reducing futures markets.

Do Repeated Wildfires Change Homebuyers’ Demand for Homes in High-Risk Areas? A Hedonic Analysis of the Short and Long-Term Effects of Repeated Wildfires on House Prices in Southern California

Unlike most hedonic studies that analyze the effects of a one-time event, this paper analyzes the effects of forest fires that are several years apart in a small geographical area. We find that repeated forest fires cause house prices to decrease for houses located near the fires. We test and reject the hypothesis that the house price reduction from one fire is equal to the house price reduction from a second fire. The first fire reduces house prices by about 10%, while the second fire reduces house prices by nearly 23%, a statistically significant difference. The pattern of these results are robust to several alternative econometric specifications.

Index Futures and Predictability of the Underlying Stocks’ Returns: The Case of the Nikkei 225

Theories predict that launching index futures could affect the price informativeness for the underlying stocks. We test this hypothesis by taking advantage of the introduction of the Nikkei 225 futures contracts in Singapore on September 3, 1986. Employing two alternative statistical methods applied to both daily and weekly data, we find that, following the listing of the index futures, returns become significantly more random and less predictable for the underlying stocks, even after controlling for concurrent marketwide shifts. These findings suggest improved price informativeness for the underlying stocks, which is further corroborated by their higher trading volume following the event.

How do commodity futures respond to macroeconomic news?

This paper investigates the impact of seventeen US macroeconomic announcements on two broad and representative commodity futures indices. Based on a large sample from 1989 to 2005, we show that the daily price response of the CRB and GSCI commodity futures indices to macroeconomic news is state-dependent. During recessions, news about higher (lower) inflation and real activity lead to positive (negative) adjustments of commodity futures prices. In contrast, we find no significant reactions during economic expansions. We attribute this asymmetric response to the state-dependent interpretation of macroeconomic news. Our findings are robust to several alternative business cycle definitions.

The Effect of Reputation and Competition on the Advice of Real Estate Agents

We study a two-period bargaining game where buyers and sellers employ real estate agents to help them determine the sales price of a house. We find that agents are less likely to provide aggressive bargaining advice to their client when they receive percentage commissions and when they work for the buyer. In addition, we find that agents are less likely to suggest aggressive bargaining strategies when there is little market competition, the gains to trade are large, in markets where housing values appreciate slowly, and when dual agency is permitted. More importantly, we show that an agent is more likely to bargain aggressively and capture a portion of the gains to trade for a client when the house’s sales price is closely related to the agent’s reputation and future business (referrals).

School Quality, House Prices and Liquidity

This paper develops an empirical framework for taking into account the effects of endogenous liquidity on price capitalization estimates. Changes in school attendance zones in the East Baton Rouge Parish public school district provide a natural experiment for studying how changes in school characteristics affect house prices and liquidity. House price and selling time, or liquidity, are simultaneously determined in search markets. The empirical model exploits variation in the surrounding neighborhood market conditions pertinent to each house to identify the system of price and liquidity equations. The estimates are consistent with search-market theory in that liquidity absorbs part of the capitalization of school quality.

The Structure of Chinese Urban Land Prices: Estimates from Benchmark Land Price Data

Taking the recent benchmark land prices published by the Chinese city governments, the paper estimates commercial and residential land price curves of Chinese cities using cross-sectional data, controlling for urban population size and income level. The urban land leasing price–distance relationship is estimated based on the argument that monocentric urban structure is representative for Chinese cities. Both population size and income level are found to positively affect urban land price and price–distance gradients. Commercial land prices are higher than residential land prices except in suburbs or outer central urban areas, where the land prices of different uses converge. In most situations, commercial use price gradients are larger than those of residential use.

Residual income,value-relevant information and equity valuation: a simultaneous equations approach

The paper uses Ohlson (Contemp Account Res 11:661–687, 1995) and compares the relative predictability of the proposed simultaneous model for contemporaneous stock price with a traditional single equation model used by the previous studies. The paper also explores how residual income and value-relevant information affect firms’ equity price. The main results of the paper suggest that the predictive ability and estimation efficiency of the simultaneous models in explaining contemporaneous stock prices are better than those of the traditional single models. Moreover, investors will use the value-relevant information beyond accounting earnings, namely analysts’ earnings forecasts, bankruptcy cost and agency cost, in equity valuation to make decision. Note particularly, the higher the bankruptcy or agency cost is, the more important the role it plays in equity valuation and, on average, the higher the accuracy of price prediction is.

Governance structure and the weighting of performance measures in CEO compensation

We empirically examine how governance structure affects the design of executive compensation contracts and in particular, the implicit weights of firm performance measures in CEO’s compensation. We find that compensation contracts in firms with higher takeover protection and where the CEO has more influence on governance decisions put more weight on accounting-based measures of performance (return on assets) compared to stock-based performance measures (market returns). In additional tests, we further find that CEO compensation in these firms has lower variance and a higher proportion of cash (versus stock-based) compensation. We further find that CEOs’ incentives (measured as changes in CEO annual wealth which includes expected changes in the value of the CEO’s equity holdings in addition to yearly compensation) do not vary across governance structures. These findings are consistent with CEOs in firms with high takeover protection and where they have more influence on governance negotiating different contracts.

Individual Agents,Firms, and the Real Estate Brokerage Process

This study examines how individual agents affect house selling prices and time on the market while controlling for brokerage firm-specific effects as well as supply and demand conditions that vary by neighborhood. Firm size effects disappear once firm specialization and agent characteristics are taken into account but geographic concentration by firms leads to higher selling prices. For individual agents, neither sex nor selling own listings affects price or selling time, but there are gains from partnering transactions across firms. Agents who specialize in listing properties obtain higher prices for their sellers while those who specialize in selling obtain lower prices for their buyers. Houses nearer to other transactions of an agent sell for higher prices. Finally, greater scale of listing and selling activity by an agent tends to lower selling price or lengthen the time on the market.

Momentum Profitability and Market Trend: Evidence from REITs

This study investigates Real Estate Investment Trusts’ momentum returns in different market states, and explains the momentum phenomenon with a risk-based dividend growth theory of Johnson (Journal of Finance 57:585–608, 2002). Our results show that momentum returns of REITs are higher during up markets. This study finds that winners’ dividend/price ratios are higher than those of losers, and momentum returns are positively correlated with the difference between winners’ and losers’ dividend/price ratios. We also find that momentum returns are higher after the legislation change of REITs in 1992, and that dividend/price ratios of REITs are also higher after 1992, suggesting that a persistent shock to REIT’s dividend/price ratios in 1992 partly explains REITs’ higher momentum returns after 1992. In sum, results of this study suggest that momentum returns of REITs can be jointly explained by a time-varying factor (market state) and a cross-sectional variance in dividend yields.

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.

Market reactions to the disclosure of internal control weaknesses and to the characteristics of those weaknesses under section 302 of the Sarbanes Oxley Act of 2002

We examine the stock price reaction to management’s disclosure of internal control weaknesses under §302 of the Sarbanes Oxley Act and to the characteristics of these weaknesses, controlling for other material announcements in the event window. We find that some characteristics of the weaknesses—their severity, management’s conclusion regarding the effectiveness of the controls, their auditability, and the vagueness of the disclosures—are informative. We also find that the information content of internal control weakness disclosures depends on the severity of the internal control weakness. Moreover, in a sub-sample uncontaminated by other announcements in the event window, we find negative price reactions to the disclosure of internal control weaknesses and material weaknesses.

Determinants of House Prices: A Quantile Regression Approach

OLS regression has typically been used in housing research to determine the relationship of a particular housing characteristic with selling price. Results differ across studies, not only in terms of size of OLS coefficients and statistical significance, but sometimes in direction of effect. This study suggests that some of the observed variation in the estimated prices of housing characteristics may reflect the fact that characteristics are not priced the same across a given distribution of house prices. To examine this issue, this study uses quantile regression, with and without accounting for spatial autocorrecation, to identify the coefficients of a large set of diverse variables across different quantiles. The results show that purchasers of higher-priced homes value certain housing characteristics such as square footage and the number of bathrooms differently from buyers of lower-priced homes. Other variables such as age are also shown to vary across the distribution of house prices.

Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity

Existing literature on housing prices is predominantly in a linear framework, and an important question that has not been addressed is whether housing prices exhibit nonlinearity. We examine Smooth Transition Autoregressive (STAR) model based nonlinear properties of housing prices over the 1969–2004 period for the entire US and the four regions. Our main findings are (1) housing price for the entire US and all regions except for the Midwest show non-linearity, (2) the dynamic properties implied by the nonlinear estimation explain the typical patterns that have characterized each housing market, and (3) results of Granger causality tests look more plausible in the nonlinear framework where we find stronger evidence of Granger causality from housing price to employment and also from mortgage rates to housing price.

Domino Effects Within a Housing Market: The Transmission of House Price Changes Across Quality Tiers

We argue that shocks to a housing market are transmitted through the hierarchy of quality tiers within a housing market. The result is the prediction of waves of house price changes accompanied by changes in transaction volume. Our study is related to existing models of spatial ripple effects across housing markets. The data are from the Hong Kong housing market. The findings from Granger causality tests strongly support the argument that domino effects within a single housing market occur in response to external shocks.

Valuation and classification of company issued cash and share-puts

This paper examines whether investors’ valuations of cash and share-put warrants are influenced by their potential differential effect on firm solvency. It is motivated by the enactment of SFAS 150, which requires that all contingent put warrant obligations be classified as balance sheet liabilities regardless of put type. Consistent with the critics of SFAS150, we show that market participants differentially value cash and share-puts based on their solvency characteristics beyond the firm’s recorded assets and liabilities. Our results add to existing capital structure literature by suggesting that complex financial instruments (such as cash and share-puts) be reported separately from each other on a firm’s balance sheet.