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Report
Asset market hangovers and economic growth: U.S. housing markets
This paper presents evidence that speculative bubbles can have sizeable effects on house prices, and on housing investment. We infer that deviations of asset prices from fundamental values may have serious consequences for real activity, and explore some policy implications. The analysis relies on a panel of U.S. state-level data covering 1973-1996.
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Head and shoulders: not just a flaky pattern
This paper evaluates rigorously the predictive power of the head-and-shoulders pattern as applied to daily exchange rates. Though such visual, nonlinear chart patterns are applied frequently by technical analysts, our paper is one of the first to evaluate the predictive power of such patterns. We apply a trading rule based on the head-and-shoulders pattern to daily exchange rates of major currencies versus the dollar during the floating rate period (from March 1973 to June 1994). We identify head-and-shoulders patterns using an objective, computer-implemented algorithm based on criteria in ...
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Identifying noise traders: the head-and-shoulders pattern in U.S. equities
This paper identifies a specific set of agents as noise traders in U.S. equity markets, and examines their effects on returns. These agents, who speculate using the "head-and-shoulders" chart pattern, are shown to qualify as noise traders because (1) trading volume is exceptionally high when they are active, and (2) their trading is unprofitable. Head-and-shoulders sales lower prices and vice versa, effects that disappear within two weeks.
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Short-term speculators and the origins of near-random-walk exchange rate behavior
This paper suggests that normal speculative activity could be a source of random-walk exchange rate behavior. Using a noise trader model to analyze very short-term exchange rate behavior, it shows that rational, risk-averse speculators will smooth the impact of shocks to exchange rate fundamentals. With sufficient speculative activity, an exchange rate could become statistically indistinguishable from a random walk, regardless of the generating processes of its fundamental determinants. ; This result may help resolve the apparent inconsistency between the observed behavior of floating ...
Journal Article
Support for resistance: technical analysis and intraday exchange rates
?Support? and ?resistance? levels?points at which an exchange rate trend may be interrupted and reversed?are widely used for short-term exchange rate forecasting. Nevertheless, the levels? ability to predict intraday trend interruptions has never been rigorously evaluated. This article undertakes such an analysis, using support and resistance levels provided to customers by six firms active in the foreign exchange market. The author offers strong evidence that the levels help to predict intraday trend interruptions. However, the levels? predictive power is found to vary across the exchange ...
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Stop-loss orders and price cascades in currency markets
In this paper, I provide evidence that currency stop-loss orders contribute to rapid, self-reinforcing price movements, or "price cascades." Stop-loss orders, which instruct a dealer to buy (sell) a certain amount of currency at the market rate once the rate has risen (fallen) to a prespecified level, generate positive-feedback trading. Theoretical research on the 1987 stock market crash suggests that such trading can cause price discontinuities, which would manifest themselves as price cascades. ; My analysis of high-frequency exchange rates offers three main results that provide ...
Report
Currency orders and exchange-rate dynamics: explaining the success of technical analysis
This paper provides a microstructural explanation for the success of two familiar predictions from technical analysis: 1) trends tend to be reversed at predictable support and resistance levels, and 2) trends gain momentum once predictable support and resistance levels are crossed. ; The explanation is based on a close examination of stop-loss and take-profit orders at a large foreign exchange dealing bank. Take-profit orders tend to reflect price trends, and stop-loss orders tend to intensify trends. The requested execution rates of these orders are strongly clustered at round numbers, which ...