There is ample empirical literature centering on the effectiveness of foreign exchange intervention (FXI). Given the mix of objectives and country-heterogeneity, the general lack of consensus thus far is no surprise. We shed light on this debate by conducting the first comprehensive meta-analysis in the FXI literature, with 279 reported effects that stem from 74 distinct empirical studies. We cover estimations conducted in 19 countries across five decades. Overall, our meta-survey reports an average depreciation of domestic currency of 1% and a reduction of exchange rate volatility of 0.6%, in response to a $1 billion US dollar purchase. Results are qualitatively confirmed but smaller in size under fixed and random-effect estimations. When narrowing in on different economic factors, we find that effects are magnified for cases consistent with the monetary trilemma (greater if financial openness and monetary independence are low). Effects are also larger in emerging than advanced economies, when banking crises remain mild, and when interventions are large in size and are announced.

The use of technical analysis by financial market professionals is not well understood. This paper thus analyzes survey evidence from 692 fund managers in five countries, the vast majority of whom rely on technical analysis. At a forecasting horizon of weeks, technical analysis is the most important form of analysis and up to this horizon it is thus more important than fundamental analysis. Technicians are as experienced, as educated, as successful in their career and largely just as overconfident in decision-making as others. However, technical analysis is somewhat more popular in smaller asset management firms. What we find most significant is the relation of technical analysis with the view that prices are heavily determined by psychological influences. Consequently, technicians apply trend-following behavior.

Evidence on the effectiveness of foreign exchange (FX) interventions is either limited to short horizons or hampered by debatable identification. We address these limitations by identifying a structural vector autoregressive model for the daily frequency with an external instrument. Generally we find, for freely floating currencies, that FX intervention shocks significantly affect exchange rates and that this impact persists for months. The signaling channel dominates the portfolio channel. Moreover, interest rates tend to fall in response to sales of the domestic currency, whereas stock prices of large (exporting) firms increase after devaluation of the domestic currency.

Technical analysis involves the prediction of asset price movements from inductive analysis of past movements. We establish a number of stylized facts, including that technical analysis is widespread in the foreign exchange market and that it may be profitable. We then analyze four arguments that have been put forward to explain this: that the market may not be fully rational; that technical analysis may exploit the influence of official interventions; that it may be an efficient form of information processing; and that it may inform on nonfundamental influences. While each may have some validity, the latter is the most plausible. As for the foreign exchange, it is almost as romantic as young love, and quite as resistant to formulae.

This paper examines the role and determinants of collateral in emerging markets compared to mature ones. Analyzing a data set of 560 credit files of Thai commercial banks, we find that both the incidence and degree of collateralization are higher there than in developed markets. Thai banks use collateral primarily to reduce the higher credit risks of small and relatively young firms. Long credit relationships do not reduce collateral requirements by lowering information asymmetry. Market imperfections result from housebanks demanding higher collateral than non-housebanks, suggesting a lock-in effect for their borrowers, and from larger banks realizing higher collateral claims.

We assess the properties of currency value strategies based on real exchange rates. We find that real exchange rates have predictive power for the cross-section of currency excess returns. However, adjusting real exchange rates for key country-specific fundamentals (productivity, the quality of export goods, net foreign assets, and output gaps) better isolates information related to the currency risk premium. In turn, the resultant measure of currency value displays considerably stronger predictive power for currency excess returns. Finally, the predictive information content in our currency value measure is distinct from that embedded in popular currency strategies, such as carry and momentum.

We study the information in order flows in the world's largest over‐the‐counter market, the foreign exchange (FX) market. The analysis draws on a data set covering a broad cross‐section of currencies and different customer segments of FX end‐users. The results suggest that order flows are highly informative about future exchange rates and provide significant economic value. We also find that different customer groups can share risk with each other effectively through the intermediation of a large dealer, and differ markedly in their predictive ability, trading styles, and risk exposure.