This paper examines the market for catastrophe event risk – i.e., financial claims that are linked to losses associated with natural hazards, such as hurricanes and earthquakes. Risk management theory suggests protection by insurers and other corporations against the largest cat events is most valuable. However, most insurers purchase relatively little cat reinsurance against large events, and premiums are high relative to expected losses. To understand why the theory fails, we examine transactions that look to capital markets, rather than traditional reinsurance markets, for risk-bearing capacity. We develop eight theoretical explanations and find the most compelling to be supply restrictions associated with capital market imperfections and market power exerted by traditional reinsurers.

Traditional models of portfolio choice assume that investors can continuously trade unlimited amounts of securities. In reality, investors face liquidity constraints. I analyze a model where investors are restricted to trading strategies that are of bounded variation. An investor facing this type of illiquidity behaves very differently from an unconstrained investor. A liquidity-constrained investor endogenously acts as if facing borrowing and short-selling constraints, and one may take riskier positions than in liquid markets. I solve for the shadow cost of illiquidity and show that large price discounts can be sustained in a rational model.

Journal Article Optimal Portfolio Choice and the Valuation of Illiquid Securities Get access Francis A. Longstaff Francis A. Longstaff University of California, Los Angeles Address correspondence to Francis A. Longstaff, Anderson School, UCLA, Box 951481, Los Angeles, CA 90095-1481, or e-mail [email protected]. Search for other works by this author on: Oxford Academic Google Scholar The Review of Financial Studies, Volume 14, Issue 2, April 2001, Pages 407–431, https://doi.org/10.1093/rfs/14.2.407 Published: 21 June 2015

Abstract This paper revisits Ohlson 1995 to make a number of points not generally appreciated in the literature. First, the residual income valuation (RIV) model does not serve as a crucial centerpiece in the analysis. Instead, RIV plays the role of condensing and streamlining the analysis, but without any effect on the substantive empirical conclusions. Second, the concept of “other information” in the model can be given concrete empirical content if one presumes that next‐period expected earnings are observable.

This paper revisits Ohlson 1995 to make a number of points not generally appreciated in the literature. First, the residual income valuation (RIV) model does not serve as a crucial centerpiece in the analysis. Instead, RIV plays the role of condensing and streamlining the analysis, but without any effect on the substantive empirical conclusions. Second, the concept of "other information" in the model can be given concrete empirical content if one presumes that next-period expected earnings are observable.

This paper explores the explanatory power of Jensen's free cash flow hypothesis in managers' choice of LIFO versus FIFO. The association between FCF, and choice of inventory methods is based on the assumption that there is a potential conflict of interest between managers and shareholders when LIFO is the tax minimization method and that non-value-maximizing managers of firms with the FCF problem have incentives to choose FIFO, an income increasing method, in order to increase their compensation. However, since debt can act as a monitoring device and mitigate the agency problems of FCF, managers of firms with high FCF and high debt are less likely to choose FIFO than managers of firms with high FCF and low debt. The evidence is consistent with this expectation.

This paper investigates the value relevance of historical cost, price level and replacement cost accounting using a sample of Mexican firms from 1989 to 1995. It contributes to prior research by distinguishing between two distinct aspects of changing prices:(1) the change in the general price level, and (2) the change in the value of specific non‐monetary assets. I select Mexico to examine because it is unique in requiring and disclosing separately price level and replacement cost adjustments. A sample of Mexican firms also addresses a key reason cited for mixed results in previous assessments of the usefulness of price level and replacement cost accounting using United States data: the effects of inflation are too weak to detect. High rates of inflation in Mexico, ranging between 7% and 52% during the sample period, mitigate that potential problem. Results indicate that replacement cost adjustments are relatively and incrementally relevant beyond historical cost and price level measures while price level adjustments are incrementally value relevant beyond historical measures.

This paper surveys the microfoundations, empirical evidence, and estimation issues underlying the aggregate matching function. There is no consensus yet on microfoundations but one is emerging on estimation. An aggregate, constant returns, Cobb-Douglas matching function with hires as a function of vacancies and unemployment has been successfully estimated for several countries. Recent work has utilized disaggregated data to go beyond aggregate estimates, with many refinements and suggestions for future research. The paper discusses spatial aggregation issues, and implications of on-the-job search and of the timing of stocks and flows for estimated matching functions.