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PurposeThe extant literature on initial public offerings (IPOs) generally assumes that a high degree of pre‐IPO leverage serves as a positive signal of firm quality as it forces a firm's managers to adhere to tough budget constraints. The purpose of this paper is to question the validity of this assumption when it is indiscriminately applied to all firms, while other potentially important determinants of a firm's optimal capital structure are ignored. High‐tech versus low‐tech firms are specifically focused on.Design/methodology/approachMultivariate regression controlling is used for various firm and offer characteristics, market and industry returns, and potential endogeneity between investment bank rankings, price revisions, and under‐pricing.FindingsIt is found that debt only serves as a signal of better firm quality for low‐tech IPOs, as reflected in smaller price revisions and lower under‐pricing. For high‐tech IPOs, the effect of leverage is reversed: for these firms, higher leverage is associated with increased risk and uncertainty as reflected by higher price revisions and greater under‐pricing. The results remain significant after controlling for various firm variables as mentioned above.Practical implicationsThe research results allow managers of high‐tech firms that contemplate going public to better understand the effect their company's capital structure will have on the pricing of their IPO. Prior research generally suggests that – irrespective of a firm's underlying characteristics – higher financial leverage results in lower under‐pricing. The findings highlight the falsity of this generalization and point out that it only holds for low‐tech firms. Firms that operate in a high‐tech sector, on the other hand, will leave less money on the table if they use equity rather than debt financing.Originality/valueIt is shown that leverage only serves as a positive signal for low‐tech firms. The IPOs of these firms generally undergo smaller price revisions and are less under‐priced than the IPOs of low‐tech firms that use little debt in their capital structure. While this result is consistent with earlier studies, it is show that the relationship between these variables reverses for high‐tech IPOs. Specifically, it is found that high‐tech IPOs with high leverage undergo larger price revisions and are more under‐priced than high‐tech firms with low leverage. In contrast to earlier findings, this suggests that for high‐tech IPOs, higher leverage implies increased ex‐ante uncertainty and risks.

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Empirical evidences regarding the association of idiosyncratic volatility and stock returns are inconsistent with the Capital Asset Pricing Model (CAPM), which implies that idiosyncratic risk should not be priced because it would be fully eliminated through diversification. Using Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH) estimated conditional idiosyncratic volatility of individual stocks across 36 countries from 1973 to 2007, we find that idiosyncratic risk is priced on a significantly positive risk premium for stock returns. The evidence is statistically and economically significant. It overwhelmingly supports the prediction of existing theories that idiosyncratic risk is positively related to expected returns.

Is it possible to profitably trade trends in foreign currencies? We examine the major currency futures contracts which have been trading since the 1970s as well as more recent contracts on exotic currencies that have only begun to trade in the past few years. The main conclusion is that the era of easy profits from simple trend following strategies in major foreign currencies is over. The markets have adapted to the extent that profits from these simple trading strategies have vanished. Presumably, trending may be a feature confined to currencies in the early years of a floating rate regime. When we look at some newly trading currencies, we see more attractive profit opportunities. Newly trading currency futures prices, like their counterparts thirty years ago, appear susceptible to trend following trading strategies.3