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We develop a two-sector monetary model with a centralized and decentralized market. Activities in the centralizedmarket resemble those in a standard New Keynesian economy with price rigidities. In the...
Many researchers have used federal funds futures rates as measures of financial markets’ expectations of future monetary policy. However, to the extent that federal funds futures reflect...
This paper studies monetary-policy shocks, deŽ ned from federal funds target movements relative to daily interest-rate data. These shocks are nearly ideal measures of unexpected movements in mo...
In the U.S. and Europe, prices change at least once a year. Yet nominal macro shocks seem to have real effects lasting well beyond a year. ‘‘Sticky information’’ models, as posited by Mankiw and Reis ...
Recessions are associated with both rising oil prices and increases in the federal funds rate. Are recessions caused by the spikes in oil prices or by the sharp tightening of monetary policy? This pap...
Share prices of financial companies from the S&P 500 list have been modeled by a linear function of consumer price indices in the USA. The Johansen and Engle-Granger tests for cointegration both demo...
In this paper, we give a numerical method for pricing long maturity,path dependent options by using the Markov property for each underlying asset. This enables us to approximate a path dependent optio...
Previous research has shown that for stock indices, the most likely time until a return of a particular size has been observed is longer for gains than for losses. We establish that this so-called ga...
It is well-known how to determine the price of perpetual American options if the underlying stock price is a time-homogeneous diffusion.In the present paper we consider the inverse problem, i.e. given...
In the context of an incomplete market with a Brownian filtration and a fixed finite time horizon T , this paper proves that for general dynamic convex risk measures, the buyer’s (pbuyer t ) and selle...
We develop a series of cross-sectional regression specifications to forecast skewness in the daily returns of individual stocks. Negative skewness is most pronounced in stocks that have experien...

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