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Essays on Exchange Rates Deterministic Chaos and Technical Analysis

Introduction

Detecting chaotic dynamics in observed time series

Reconstruction of the dynamics

Embeddings

Choosing the proper reconstruction parameters

Ergodic quantities

Lyapunov exponents

Testing for chaotic dynamics in observed time series

Statistical framework

Short summaries of Papers [i]

Short summaries of Papers [ii]

Short summaries of Papers [iii]

Technical analysis in the foreign exchange market

Technical analysis

Moving averages

Momentum lines

Endogenous speculative bubbles

Summary of Paper [iv]

Concluding remarks

References A-H

References J-Z

Book: Exchange Rates

Essays on Exchange Rates Deterministic Chaos and Technical Analysis

4 Concluding remarks

Does chaos really matter? The answer to this question depends on who you are asking. For technical analysts, the answer is clearly no, even if patterns in market prices, such as exchange rates, never recur in exactly the same manner.

Trading rules still have predictive power for technical analysts. Moreover, the prediction problem associated with chaos in, for example, foreign exchange markets with target zones, i. e. fixed exchange rate regimes with bands, may be negligible if the bands are small.

For example, if the band is f1% around some target rate, the prediction error can never be larger than 2%. Chaos still has several important implications that must be considered in economics.

For example, the prediction problem associated with chaos cannot be entirely
neglected because the aforementioned example of target zones with small
bands is an exception. In most cases, the bands are either large or they are absent, i. e. flexible exchange rates regimes are adopted.

This means that nonlinear dynamics in general and chaotic dynamics in particular in the foreign exchange market have important implications for modelling purposes, i. e. for economic theory.

Prof. Mikael Bask

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