Long memory in stock market volatility and the volatility-in-mean effect: The FIEGARCH-M Model

We extend the fractionally integrated exponential GARCH (FIEGARCH) model for daily stock return data with long memory in return volatility of Bollerslev and Mikkelsen (1996) by introducing a possible volatility-in-mean effect. To avoid that the long memory property of volatility carries over to returns, we consider a filtered FIEGARCH-in-mean (FIEGARCH-M) effect in the return equation. The filtering of the volatility-in-mean component thus allows the co-existence of long memory in volatility and short memory in returns. We present an application to the daily CRSP value-weighted cum-dividend stock index return series from 1926 through 2006 which documents the empirical relevance of our model. The volatility-in-mean effect is significant, and the FIEGARCH-M model outperforms the original FIEGARCH model and alternative GARCH-type specifications according to standard criteria.     

Institutional Pressures and an Evolving Forest Carbon Market

It is estimated that 87 million acres of forestland in the United States (US) is managed by private industrial forestland owners (nearly 14% of the forestland nationwide). Private industrial forestland owners include forest product companies, Timber Investment Management Organizations (TIMOs) and Real Estate Investment Trusts (REITs). Current regulatory and voluntary carbon markets, as well as proposed national emission reduction legislation, in the US make provisions for substantial carbon offsets from domestic forestry projects. This research employs the theory of planned behavior by means of an online questionnaire in order to survey large industrial forestland owners (>30 000 acres) regarding intentions to manage forestland for carbon sequestration and trading. Quantitative results suggest that very few organizations (18%) were managing forestland for carbon values. Attitudes towards carbon sequestration and trading were significantly influenced by the managers' beliefs that emission reduction legislation would become law and that US forest carbon offsets can be used as a legitimate climate change mitigation tool. Qualitative results revealed that most organizations are taking a passive approach to carbon sequestration and trading until a suitable regulatory framework emerges and carbon prices provide the conditions for a sound investment. The researchers suggest that, given the size and scope of the climate change phenomenon as well as the multifaceted and unified mitigation strategy required to address it, the development of functional carbon markets will be an iterative process and may require a global carbon framework that reflects the globalized nature of the forest economy. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment     

Continuous‐time models,realized volatilities,and testable distributional implications for daily stock returns

We provide an empirical framework for assessing the distributional properties of daily speculative returns within the context of the continuous‐time jump diffusion models traditionally used in asset pricing finance. Our approach builds directly on recently developed realized variation measures and non‐parametric jump detection statistics constructed from high‐frequency intra‐day data. A sequence of simple‐to‐implement moment‐based tests involving various transformations of the daily returns speak directly to the importance of different distributional features, and may serve as useful diagnostic tools in the specification of empirically more realistic continuous‐time asset pricing models. On applying the tests to the 30 individual stocks in the Dow Jones Industrial Average index, we find that it is important to allow for both time‐varying diffusive volatility, jumps, and leverage effects to satisfactorily describe the daily stock price dynamics. Copyright © 2009 John Wiley & Sons, Ltd.     

A passenger demand model for air transportation in a hub-and-spoke network

This paper develops an air passenger model that deals with city-pair demand generation and demand assignment in a single framework. Using publicly available and regularly collected panel data, the model captures both time series and cross-sectional variation of air travel demand. The empirical analysis finds that pattern of correlations among alternatives can be described by a three-level nested logit model. Fare, frequency, flight time, direct routing, on-time performance, income, and market distance have significantly effects on air demand. Correcting for the problem of endogenous air fares using instrumental variables yields more plausible estimates of price sensitivity and value of time.     

Are there economies of scale in underwriting fees? Evidence of rising external financing costs

This study examines the behavior of spreads paid in firm underwrittenseasoned common stock offerings and straight bond offerings.Estimates indicate that up to 85% of the spread is variablecost and that the marginal spread is rising. Further, offeringsthat are likely to require greater underwriting services encounterhigher marginal spreads. These findings are consistent withthere being a family of U-shaped spreads, with lower qualityofferings priced on higher spreads, unlike the economies ofscale view of spreads. They agree with the views that underwritersprovide valuable services and that the marginal cost of externalfinance is rising.     

Adaptation investments and homeownership

This article develops a model where ownership improves the efficiency of the housing market as it enhances the utility of housing consumption for some consumers. The model is based on an extended Hotelling–Lancaster utility approach in which the ideal variant of housing is obtainable only by adapting the home through a supplementary investment. Ownership offers low costs of adaptation, but has high contract costs compared with renting. Consumers simultaneously choose housing demand and tenure, and because of the different cost structure only consumers with strong preferences for individual adaptation of the home choose ownership. This article analyses the consumer’s optimization. The model provides an explanation for the observation that homeowners typically live in larger dwelling units than tenants. It also provides an explanation for a high price of housing services tending to reduce homeownership rates.     

The causal effect of board size in the performance of small and medium-sized firms

Empirical studies of large publicly traded firms have shown a robust negative relationship between board size and firm performance. The evidence on small and medium-sized firms is less clear; we show that existing work has been incomplete in analyzing the causal relationship due to weak identification strategies. Using a rich data set of almost 7000 closely held corporations we provide a causal analysis of board size effects on firm performance: We use a novel instrument given by the number of children of the chief executive officer (CEO) of the firms. First, we find a strong positive correlation between family size and board size and show this correlation to be driven by firms where the CEO’s relatives serve on the board. Second, we find empirical evidence of a small adverse board size effect driven by the minority of small and medium-sized firms that are characterized by having comparatively large boards of six or more members.     

Prices and Information Under Imperfect Competition

Imperfectly competitive product markets cannot be informationally efficient as private information has strategic implications interfering with price adjustment. This is illustrated in a duopoly model with sequential price setting where private information either leads to prices not being adjusted to all available information or to adjusted but biased prices.