This paper investigates the ability of the Federal Reserve to manipulate the overnight rate without open market operations (which Demiralp and Jorda (2000) term the announcement effect), using high-frequency, open-market-desk data. Using similar data, Hamilton (1997) takes advantage of forecast...

We analyze empirical links between the perceived tail-risk of inflation, the policy rate, longer-term interest rates, and equity prices in the U.S. Their simultaneous changes enable us to distinguish between a systematic and "exogenous" response to monetary-policy news. And, those tail...

No previous study has considered the intraday JPY/USD exchange rate responses to a broad set of comparable news surprises from both the U.S. and Japan. We attempt to fill this gap in the literature by investigating the effects of both U.S. and Japanese news surprises, measured as the difference...

This paper examines persistence in the Ukrainian stock market during the recent financial crisis. Using two different long memory approaches (R/S analysis and fractional integration) we show that this market is inefficient and the degree of persistence is not the same in different stages of the...

This paper studies the monetary policy of the Federal Reserve (Fed) and the Bundesbank / European Central Bank (ECB) with respect to stock or/and foreign exchange markets from 1979 to 2009. I find that Fed policy changed over time, dependent on the chairman of the Fed. During the Greenspan era...

This paper addresses two issues. The first is whether demographic change was plausibly responsible for the run-up in stock prices over the last decade, and whether the attempt by the baby boom cohort to cash out of its investments in the period 2010-30 might lead to an “asset meltdown.” The...

This paper develops an equilibrium model of speculative bubbles that can be used to explore the role of various policies in either giving rise to or eliminating the possibility of asset bubbles, e.g. restricting the use of certain types of loan contracts, imposing down- payment restrictions, and...

In this paper, we examine the evolution of the S&P500 returns volatility around market crashes using a Markov-Switching model. We find that volatility typically switches into the high volatility state well before a crash and remains in the high state for a considerable period of time after the...

We develop likelihood-based tests for autocorrelation and predictability in a first order non-Gaussian and noninvertible ARMA model. Tests based on a special case of the general model, referred to as an all-pass model, are also obtained. Data generated by an all-pass process are uncorrelated...

A long tradition in macro finance studies the joint dynamics of aggregate stock returns and dividends using vector autoregressions (VARs), imposing the cross-equation restrictions implied by the Campbell-Shiller (CS) identity to sharpen inference. We take a Bayesian perspective and develop...