We find that changes in oil prices strongly predict future stock market returns in many countries in the world. In our thirty year sample of monthly data for developed stock markets, we find statistically significant predictability in 12 out of the 18 countries and in a world market index. For...

The present paper examines firm size effects on the decision of venture capital firms to participate in a venture capital investment syndication network. The authors submit that firm size effects in venture capital syndication are dependent on resource acquisition motives and transaction cost...

Large institutional investors allocate their funds over a number of classes (e.g. equity, fixed income and real estate), various geographical regions and different industries. In practice, these allocation decisions are usually made in a hierarchical (top-down), consecutive way. At the higher...

We analyze if the value-weighted stock market portfolio is second-order stochastic dominance (SSD) efficient relative to benchmark portfolios formed on market capitalization, book-to-market equity ratio and industry classification. During the period from the mid-1970s to the late 1980s, the...

We use a sequential trade model to clarify two mechanisms following the introduction of an option that may lead to increased efficiency in the underlying. On the one hand, market makers learn from trades in the option market and set more accurate prices. On the other hand, the proportion of...

This paper discusses statistical inference on the second-order stochastic dominance (SSD) efficiency of a given portfolio relative to all portfolios formed from a set of assets. We derive the asymptotic sampling distribution of the Post test statistic for SSD efficiency. Unfortunately, a test...

We examine the relationship between exchange-rate changes and stock returns for a sample of Dutch firms over 1994-1998. We find that over 50% of the firms are significantly exposed to exchange-rate risk. Furthermore, all firms with significant exchange-rate exposure benefit from a depreciation...

We introduce a Mixed-Frequency Factor Model (MFFM) to estimate vast dimensional covari- ance matrices of asset returns. The MFFM uses high-frequency (intraday) data to estimate factor (co)variances and idiosyncratic risk and low-frequency (daily) data to estimate the factor loadings. We propose...

We derive an estimator for Black-Scholes-Merton implied volatility that, when compared to the familiar Corrado & Miller [JBaF, 1996] estimator, has substantially higher approximation accuracy and extends over a wider region of moneyness.

To analyze the intertemporal interaction between the stock and bond market returns, we allow the conditional covariance matrix to vary over time according to a multivariate GARCH model similar to Bollerslev, Engle and Wooldridge (1988). We extend the model such that it allows for asymmetric...