The properties of information, including "information uncertainty", can be understood only Bayesianly. Common formulations that define information uncertainty in terms of just statistical "precision" (i.e. sampling variance), or any one estimator characteristic (e.g. bias), are inadequate for...

Before information φ arrives, market observers must be uncertain whether the stock price conditioned on φ will be higher or lower than the current price. Otherwise there is an obvious arbitrage opportunity. By assuming this minimal condition of efficient markets, it is shown under the...

The term "information risk" or "information uncertainty" is defined as the risk of a misleading signal. This risk is understood Bayesianly in terms of the likelihood function f(S|φ). In Bayesian method, f(S|φ) captures the quality of signal S with respect to parameter φ. The Bayesian position...

Investors are said to "abhor uncertainty", but if there were no uncertainty they could earn only the risk-free rate. A fundamental result in the analytical accounting literature shows that investors buying into a CARA-normal CAPM market pay lower asset prices, earn higher expected returns, and...

If two investments have the same payoff covariance with the market but one has higher expected payoff, which asset according to the CAPM has most risk? One answer is that as far as risk goes the two assets are the same, because they have the same covariance with the market. The correct answer,...

We explore how risk aversion affects optimal capacity and pricing decisions within the economic setting of Banker and Hughes (1994). A risk averse firm invests in fixed capacity and sets a product price, but can also purchase spot capacity at higher unit cost. Initial capacity and price are set...