Issue Size Choice and “Underpricing” in Thrift Mutual-to-Stock Conversions

Issue size choice and underpricing in mutual-to-stock conversions of thrifts are explained as a function of growth opportunities, perquisite consumption, and proprietary information. We provide evidence that thrifts with greater growth opportunities choose larger issue size and experience higher after-market price appreciation. This finding persists when we allow for investors' inferences about managers' proprietary information. Variables that explain underpricing in typical initial public offerings are significant by themselves but lose significance when combined with the issue size choice variables. Managerial holdings and the offer price do not act as dissipative signals of value in thrift conversions.     

Insider employee stock option trading and stock prices

The question of which factors determine corporate bonds pricing is investigated by analysing the spreads of eurobonds issued by major G-10 companies during the 1991–2001 period. Three main results emerge from the analysis. First, bond ratings appear as the most important determinant of yield spreads, with investors’ reliance on rating agencies judgments increasing over time. Second, the primary market efficiency and the expected secondary market liquidity are not relevant explanatory factors of spreads cross-sectional variability. Finally, rating agencies adopt a different, ‘through the cycle’, evaluation criteria of default risk with respect to the forward looking one adopted by bond investors.     

Identification of technological structures using patent statistics

This paper studies the use of patent statistics in identifying four aspects of technological structure, namely, the potential knowledge pool, cumulativeness, inter-firm homogeneity in technology levels, and the scope of innovations. The firms are sampled from the chemical (CHEM), the computer (COM) and the electrical and electronic (EE) industries worldwide. Using the proxies defined, we find that (i) the contributions of intra-industry spillover are low, at 12%, 10%, and 9% for the three industries respectively; (ii) they can internalize 15%, 19% and 13% of their previous research efforts respectively; and (iii) a positive relationship between knowledge spillover and technology overlap, and between scope of innovation and number of patents being cited in future.     

Modeling Structural and Temporal Variation in the Market's Valuation of Banking Firms

Hidden capital exists whenever the accounting measure of a firm's net worth diverges from its economic value. Such unbooked capital has on-balance-sheet and off-balance-sheet sources. This paper develops a model to estimate both forms of hidden capital and to test hypotheses about their determinants. In effect, the analysis expands the two-index model by endogenizing the market and interest-rate sensitivities of any stock and decomposing each sensitivity into on-balance-sheet and off-balance-sheet elements. For a sample of banks during 1975–1985, the model finds considerable variation in both forms of hidden capital.     

The Early Careers Of Engineers And The Accumulation Of Skills In The Canadian Economy

In this paper we use world cycling records to study the pattern of technological development of the track bicycle. We find that there is a strong evidence of ‘contagious’ effects among cycling records which in turn provides indirect evidence of ‘contagious’ effects among technological innovations. Interestingly, the ‘contagiousness’ of records is not a salient characteristic of track and field competitions where, arguably, technology plays a smaller role.     

Does the digital divide matter? The role of information and communication technology in cross-country level and growth estimates

The bulk of information and communication technology is made of weightless, implementable, and infinitely reproducible knowledge products (such as software and databases). These products are transferred by telephone lines, accessed through internet hosts, and processed through personal computers. In this work, the coefficient of the labour augmenting factor in the aggregate production function has been estimated using proxies of variables crucially affecting the diffusion of (non-rival and almost non-excludable) knowledge products. This specification provides interesting answers to some of the open issues in the existing growth literature. The most recent information, though available for a limited period, shows that telephone lines, personal computers, mobile phones, and internet hosts significantly affect levels and growth of income per worker across countries. The result is robust to changes in sample composition, econometric specification, and estimation approach.     

Volatility forecasts and at-the-money implied volatility: a multi-component ARCH approach and its relation to market models

This article explores the relationships between several forecasts for the volatility built from multi-scale linear ARCH processes, and linear market models for the forward variance. This shows that the structures of the forecast equations are identical, but with different dependencies on the forecast horizon. The process equations for the forward variance are induced by the process equations for an ARCH model, but postulated in a market model. In the ARCH case, they are different from the usual diffusive type. The conceptual differences between both approaches and their implication for volatility forecasts are analysed. The volatility forecast is compared with the realized volatility (the volatility that will occur between date t and t + ΔT), and the implied volatility (corresponding to an at-the-money option with expiry at t + ΔT). For the ARCH forecasts, the parameters are set a priori. An empirical analysis across multiple time horizons ΔT shows that a forecast provided by an I-GARCH(1) process (one time scale) does not capture correctly the dynamics of the realized volatility. An I-GARCH(2) process (two time scales, similar to GARCH(1,1)) is better, while a long-memory LM-ARCH process (multiple time scales) replicates correctly the dynamics of the implied and realized volatilities and delivers consistently good forecasts for the realized volatility.     

How Do Switching Costs Affect Market Concentration and Prices in Network Industries?

I investigate the effects of switching costs on the market outcome in network industries using a dynamic duopoly model of price competition in the presence of an outside option. I find that the role of switching costs depends on network effects and the outside option. Without a viable outside option, high switching costs can neutralize the tendency towards high market concentration associated with network effects, but with a viable outside option, switching costs increase market concentration. Furthermore, switching costs lower prices if network effects are modest and there exists a viable outside option, but generally raise prices otherwise.     

On the equivalence of the static and dynamic asset allocation problems

A classic dynamic asset allocation problem optimizes the expected final-time utility of wealth, for an individual who can invest in a risky stock and a risk-free bond, trading continuously in time. Recently, several authors considered the corresponding static asset allocation problem in which the individual cannot trade but can invest in options as well as the underlying. The optimal static strategy can never do better than the optimal dynamic one. Surprisingly, however, for some market models the two approaches are equivalent. When this happens the static strategy is clearly preferable, since it avoids any impact of market frictions. This paper examines the question: when, exactly, are the static and dynamic approaches equivalent? We give an easily tested necessary and sufficient condition, and many non-trivial examples. Our analysis assumes that the stock follows a scalar diffusion process, and uses the completeness of the resulting market model. A simple special case is when the drift and volatility depend only on time; then the two approaches are equivalent precisely if (μ (t)? r)/σ²(t) is constant. This is not the Sharpe ratio or the market price of risk, but rather a nondimensional ratio of excess return to squared volatility that arises naturally in portfolio optimization problems.     

Consumer usage of unit pricing

The aim of this study was to investigate the degree to which shoppers use unit price as a conventional piece of information to compare sizes and/or brands in supermarkets. Three-hundred and seventy-five shoppers were interviewed in a Kroger supermarket in Tuscaloosa, Alabama. About two-thirds of all respondents said they used the unit price information while shopping. Slightly over 84% of those who understand how the unit price information can be used to make more economical choices said they used it. Shoppers with lower levels of education used unit price less than those with higher levels of education. The same pattern was observed between low-income and high-income shoppers as well as between blacks and whites. The number of shoppers who recalled using unit price to compare sizes was about the same as the number of people who recalled using it to compare brands.