Segmentation and Time-of-Day Patterns in Foreign Exchange Markets

This paper sheds light on a puzzling pattern in foreign exchange markets: Domestic currencies appreciate (depreciate) systematically during foreign (domestic) working hours. These time-of-day patterns are statistically and economically highly significant. They pervasively persist across many years, even after accounting for calendar effects. This phenomenon is difficult to reconcile with the random walk and market efficiency hypothesis. Microstructural and behavioural explanations suggest that the main raison d'etre is a domestic currency bias coupled with market segmentation. The prevalence of domestic (foreign) traders demanding the counterpart currency during domestic (foreign) working hours implies a cyclical net positive (negative) imbalance in dealers' inventory. In aggregate, this turns into sell-price (buy-price) pressure on the domestic currency during domestic (foreign) working hours.foreign exchange market, microstructure, behavioural finance, timeof-day patterns, market segmentation, calendar effects, inventory, asymmetric information, high-frequency data

Realized Bond-Stock Correlation: Macroeconomic Announcement Effects

We investigate the effects of macroeconomic announcements on the realized correlation between bond and stock returns. Our results deliver insights into the dominating drivers of bond-stock comovements. We find that it is not so much the surprise component of the announcement, but the mere fact that an announcement occurs that influences the realized bond-stock correlation. The impact of macroeconomic announcements varies across the business cycle. Announcement effects are highly dependent on the sign of the realized bond-stock correlation which has recently gone from positive to negative. Macroeconomic announcement effects on realized bond and stock volatilities are also investigated.Bond-stock correlation, Macroeconomic announcements, Realized correlation, Realized volatility

The reaction of asset markets to Swiss National Bank communication

In this paper we analyze high-frequency movements in Swiss financial markets in reaction to real-time communication by the Swiss National Bank. Our analysis of central bank communication encompasses official speeches and interviews, not only monetary policy announcements. We examine the reactions of the currency market, the bond market and the stock exchange. The evidence suggests that speeches and interviews, along with monetary policy announcements, engender a significant price reaction. This paper sheds light on the relevance of communications other than monetary policy announcements.central bank communication, speeches, interviews, monetary policy announcements, financial market reaction, high-frequency data

Realized Bond-Stock Correlation: Macroeconomic Announcement Effects

We investigate the effects of macroeconomic announcements on the realized correlation between bond and stock returns. Our results deliver insights into the dominating drivers of bond-stock comovements. We find that it is not so much the surprise component of the announcement, but the mere fact that an announcement occurs that influences the realized bond-stock correlation. The impact of macroeconomic announcements varies across the business cycle. Announcement effects are highly dependent on the sign of the realized bond-stock correlation which has recently gone from positive to negative. Macroeconomic announcement effects on realized bond and stock volatilities are also investigatedBond-stock correlation; Macroeconomic announcements; Realized correlation; Realized volatility

Safe Haven Currencies

We study high-frequency exchange rate movements over the sample 1993-2006. We document that the (Swiss) franc, euro, Japanese yen and the pound tend to appreciate against the U.S. dollar when (a) S&P has negative returns; (b) U.S. bond prices increase; and (c) when currency markets become more volatile. In these situations, the franc appreciates also against the other currencies, while the pound depreciates. These safe haven properties of the franc are visible for different time granularities (from a few hours to several days), during both "ordinary days" and crisis episodes and show some non-linear features.high-frequency data, crisis episodes, non-linear effects

Extreme Coexceedances in New EU Member States' Stock Markets

We analyze the financial integration of the new European Union (EU) member states' stock markets using the negative (positive) coexceedance variable that counts the number of large negative (large positive) returns on a given day across the countries. We use a multinomial logit model to investigate how persistence, asset classes, and volatility are related to the coexceedance variables. We find that the effects differ (a) between negative and positive coexceedance variables (b) between old and new EU member states, and (c) before and after the EU enlargement in 2004 suggesting a closer connection of new EU stock markets to those in Western Europe.Financial market integration, Comovement, Emerging markets, EU enlargement, EU Member States, Extreme returns, New EU Member States, Stock Markets

Safe Haven Currencies

We study high-frequency exchange rate movements over the sample 1993-2006. We document that the (Swiss) franc, euro, Japanese yen and the pound tend to appreciate against the U.S. dollar when (a) S&P has negative returns; (b) U.S. bond prices increase; and (c) when currency markets become more volatile. In these situations, the franc appreciates also against the other currencies, while the pound depreciates. These safe haven properties of the franc are visible for different time granularities (from a few hours to several days), during both "ordinary days" and crisis episodes and show some non-linear features.high-frequency data, crisis episodes, non-linear effects

Intraday patterns in FX returns and order flow

Using 10 years of high-frequency foreign exchange data, we present evidence of time-of-day effects in foreign exchange returns through a significant tendency for currencies to depreciate during local trading hours. We confirm this pattern across a range of currencies and find that, in the case of EUR/USD, it can form a simple, profitable trading strategy. We also find that this pattern is present in order flow and suggest that both patterns relate to the tendency of market participants to be net purchasers of foreign exchange in their own trading hours. Data from alternative sources appear to corroborate that interpretation.foreign exchange, microstructure, order flow, liquidity

On the Predictability of Stock Prices: a Case for High and Low Prices

Contrary to the common wisdom that asset prices are hardly possible to forecast, we show that high and low prices of equity shares are largely predictable. We propose to model them using a simple implementation of a fractional vector autoregressive model with error correction (FVECM). This model captures two fundamental patterns of high and low prices: their cointegrating relationship and the long memory of their difference (i.e. the range), which is a measure of realized volatility. Investment strategies based on FVECM predictions of high/low US equity prices as exit/entry signals deliver a superior performance even on a risk-adjusted basis.high and low prices, predictability of asset prices, range, fractional cointegration, exit/entry trading signals, chart/technical analysis

Limits to arbitrage during the crisis: funding liquidity constraints and covered interest parity

Arbitrage normally ensures that covered interest parity (CIP) holds. Until recently, excess profits, if any, were documented to last merely seconds and reach a few pips. Instead, this paper finds that following the Lehman bankruptcy, these were large, persisted for months and involved strategies short in dollars. Profits are estimated by specifying the arbitrage strategy as a speculator would actually implement it, considering both unsecured and secured funding. Either way, it seems that dollar funding constraints kept traders from arbitraging away excess profits. The claim finds support in an empirical analysis drawing on several novel high frequency datasets of synchronous quotes across securities, including transaction costs.arbitrage limits, covered interest parity, funding liquidity, financial crisis