LOW INTELLIGENCE MODEL WHICH CAN EXPLAIN MARKET LIQUIDITY

Measuring Market Liquidity Risk - Which Model Works

Can Hedge Funds Time Market Liquidity?

This paper examines how hedge funds manage their market risk according to changes in aggregate liquidity conditions. Using a large sample of equity-oriented hedge funds during the period of 1994–2008, we find strong evidence that hedge-fund managers possess the ability to time market liquidity at both the style category level and the individual fund level. They increase (decrease) their portfol...

Can hedge funds time market liquidity?

We explore a new dimension of fund managers' timing ability by examining whether they can time market liquidity through adjusting their portfolios'market exposure as aggregate liquidity conditions change. Using a large sample of hedge funds, we find strong evidence of liquidity timing. A bootstrap analysis suggests that top-ranked liquidity timers cannot be attributed to pure luck. In out-of-sa...

Can a stochastic cusp catastrophe model explain stock market crashes?

This paper is the first attempt to fit a stochastic cusp catastrophe model to stock market data. We show that the cusp catastrophe model explains the crash of stock exchanges much better than other models. Using the data of U.S. stock markets we demonstrate that the crash of October 19, 1987, may be better explained by cusp catastrophe theory, which is not true for the crash of September 11, 20...

Can Market - Clearing Models Explain U . S . Labor Market Fluctuations ?

(1992) and Kydland (1995) for a survey of this literature. 2 Merz (1995) introduces such time delays in the form of costly search in the labor market while Christiano and Todd (1996) considers a time-to-plan investment process. M odern business cycle theories are evaluated on the basis of their ability to explain key empirical features of the postwar U.S. business cycle. The failure of nonmarke...