Forecasting implied volatility in foreign exchange markets: a functional time series approach

We utilise novel functional time series (FTS) techniques to characterise and forecast implied volatility in foreign exchange markets. In particular, we examine the daily implied volatility curves of FX options, namely; Euro/United States Dollar, Euro/British Pound, and Euro/Japanese Yen. The FTS model is shown to produce both realistic and plausible implied volatility shapes that closely match empirical data during the volatile 2006–2013 period. Furthermore, the FTS model significantly outperforms implied volatility forecasts produced by traditionally employed parametric models. The evaluation is performed under both in-sample and out-of-sample testing frameworks with our findings shown to be robust across various currencies, moneyness segments, contract maturities, forecasting horizons, and out-of-sample window lengths. The economic significance of the results is highlighted through the implementation of a simple trading strategy.     

The impact of the introduction of the Euro on foreign exchange rate risk exposures

This paper tests whether significant changes in stock return volatility, market risk, and foreign exchange rate risk exposures took place around the launch of the Euro in 1999. The experiment analyzes weekly returns for 3220 nonfinancial firms from 18 European countries, the United States, and Japan. We find that though the Euro's launch was associated with an increase in total stock return volatility, significant reductions in market risk exposures arose for nonfinancial firms both in and outside of Europe. We show that the reductions in market risk were concentrated in firms domiciled in the Euro area and in non-Euro firms with a high fraction of foreign sales or assets in Europe. The Euro's introduction led to a net absolute decrease in the foreign exchange rate exposure of nonfinancial firms, but these changes are statistically and economically small. We interpret our findings in the context of existing theories of exchange rate risk management.     

The impact of exchange rate deviations from relative PPP equilibrium on the U.S. demand for foreign equities

Applying fixed-effects panel data, this study investigates the impact of U.S. dollar exchange rate movements during different exchange rate states (overvaluation and undervaluation) on the monthly real gross and real net purchases of foreign equities by U.S. residents over the post-Plaza Accord period. The foreign equities come from 22 developed and 25 developing countries. Previous research has posited two alternative hypotheses regarding the relationship between exchange rates and foreign investment. These are the wealth effect and the profit-oriented effect. The evidence herein suggests that these two hypotheses coexist. We find robust evidence for a negative relationship between the exchange rate movements of an undervalued U.S. dollar and the demand for foreign equities. For developed countries, the wealth effect dominates the profit-oriented effect when the U.S. dollar is overvalued, while, for developing countries, the profit-oriented effect dominates the wealth effect. The results emphasize the importance of considering exchange rate states derived from a relative PPP equilibrium when analyzing U.S. allocations to foreign equities. The findings with respect to the macroeconomic control variables are mainly in agreement with the predictions of international financial theory. Some of the results, however, disappear or become inconclusive for the period after the bankruptcy of Lehman Brothers. This may be explained by the increased uncertainty in international financial markets following this unprecedented event. The findings are robust with respect to different constructed equilibrium exchange rates.     

Impact of exchange rate movements on exports: An analysis of Indian non-financial sector firms

We explore the real effective exchange rate (REER) effects on the share of exports of Indian non-financial sector firms for the period 2000–2010. Our empirical analysis reveals that, on average, there has been a strong and significant negative impact from currency appreciation and currency volatility on Indian firms' export shares. Labor costs are found to intensify the exchange rate effects on trade. Further, there is evidence that the Indian firms considered here respond asymmetrically to exchange rates. For instance, the REER change effect is more likely to be driven by a negative appreciation effect than a depreciation effect. Also, Indian firms that have smaller export shares tend to have a stronger response to both REER change and volatility. Compared with those exporting goods, firms that export services are more affected by exchange rate fluctuations. The findings, especially those on asymmetric responses, have important policy implications.     

Random matrix ensembles of time-lagged correlation matrices: derivation of eigenvalue spectra and analysis of financial time-series

We derive the exact form of the eigenvalue spectra of correlation matrices derived from a set of time-shifted, finite Brownian random walks (time-series). These matrices can be seen as real, asymmetric random matrices where the time-shift superimposes some structure. We demonstrate that, for large matrices, the associated eigenvalue spectrum is circular symmetric in the complex plane. This fact allows us to exactly compute the eigenvalue density via an inverse Abel-transform of the density of the symmetrized problem. We demonstrate the validity of this approach numerically. Theoretical findings are then compared with eigenvalue densities obtained from actual high-frequency (5 min) data of the S&P 500 and the observed deviations are discussed. We identify various non-trivial, non-random patterns and find asymmetric dependencies associated with eigenvalues departing strongly from the Gaussian prediction in the imaginary part. For the same time-series, with the market contribution removed, we observe strong clustering of stocks into causal sectors. We finally comment on the stability of the observed patterns.     

The impact of European Central Bank Governing Council announcements on the foreign exchange market: a microstructural analysis

We examine the evidence regarding systematic patterns in the euro-dollar foreign exchange market on days when the Governing Council (GC) of the European Central Bank announces its interest rate decisions versus other days. We examine 5-minute data in a non-linear framework allowing for switching between a high-volatility, informed-trading state and a low-volatility, liquidity-trading state. We find strong evidence that the GC policy announcements contain significant news content. Although there is some evidence of positioning in the hour prior to the announcement, this probably reflects dealers minimizing their exposure rather than evidence of information leakage.     

内外均衡冲突下的人民币汇率政策选择:基于斯旺模型的研究

本文以斯旺模型为理论基础,研究了当前中国经济内外均衡,中突,并对内外均衡冲突下的汇率政策和货币政策之间的冲突进行了深入分析。根据斯旺模型,这两种冲突的解决要求当前实行紧缩国内支出政策和人民币升值政策的配合。因此,汇率政策的选择就变得至关重要。当然要解决当前经济内外均衡冲突,还需要其他政策的配合。