Predicting financial volatility: High‐frequency time‐series forecasts vis‐à‐vis implied volatility

Recent evidence suggests option implied volatilities provide better forecasts of financial volatility than time‐series models based on historical daily returns. In this study both the measurement and the forecasting of financial volatility is improved using high‐frequency data and long memory modeling, the latest proposed method to model volatility. This is the first study to extract results for three separate asset classes, equity, foreign exchange, and commodities. The results for the S&P 500, YEN/USD, and Light, Sweet Crude Oil provide a robust indication that volatility forecasts based on historical intraday returns do provide good volatility forecasts that can compete with and even outperform implied volatility. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:1005–1028, 2004     

Useful Properties of Exchange Rate Forecasts for Risk Management and Derivative Pricing

We examine three useful properties of the yen/dollar exchange‐rate forecasts that are published in January and July in the Wall Street Journal. Those properties are the level of explanatory power, whether some forecasters are consistently better than others, and whether the dispersion of forecasts can predict the volatility of the exchange rates. The results show that the relative accuracy of the individual forecasts has not been random each period, and the evidence suggests that some forecasters are consistently better than others. The forecasts from the best forecasters explain about half of the variability in the semiannual exchange‐rate series. Finally, the dispersion of all the forecasts each period, as measured by the standard deviation, has predictive power with respect to the daily volatility of the forecasts for the three months following the survey. This final property has implications for the pricing and use of currency options. © 2001 John Wiley & Sons, Inc.     

Forecasting bitcoin volatility: Evidence from the options market

This paper studies a large number of bitcoin (BTC) options traded on the options exchange Deribit. We use the trades to calculate implied volatility (IV) and analyze if volatility forecasts can be improved using such information. IV is less accurate than AutoRegressive–Moving-Average or Heterogeneous Auto-Regressive model forecasts in predicting short-term BTC volatility (1 day ahead), but superior in predicting long-term volatility (7, 10, 15 days ahead). Furthermore, a combination of IV and model-based forecasts provides the highest accuracy for all forecasting horizons revealing that the BTC options market contains unique information.     

Hedging under model misspecification: All risk factors are equal,but some are more equal than others …

It is often difficult to distinguish among different option pricing models that consider stochastic volatility and/or jumps based on a cross‐section of European option prices. This can result in model misspecification. We analyze the hedging error induced by model misspecification and show that it can be economically significant in the cases of a delta hedge, a minimum‐variance hedge, and a delta‐vega hedge. Furthermore, we explain the surprisingly good performance of a simple ad‐hoc Black‐Scholes hedge. We compare realized hedging errors (an incorrect hedge model is applied) and anticipated hedging errors (the hedge model is the true one) and find that there are substantial differences between the two distributions, particularly depending on whether stochastic volatility is included in the hedge model. Therefore, hedging errors can be useful for identifying model misspecification. Furthermore, model risk has severe implications for risk measurement and can lead to a significant misestimation, specifically underestimation, of the risk to which a hedged position is exposed. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark     

Exchange Rate Volatility and Exports: New Empirical Evidence from the Emerging East Asian Economies

This paper examines the impact of bilateral real exchange rate volatility on real exports of five emerging East Asian countries among themselves as well as to 13 industrialised countries. We recognise the specificity of the exports between the emerging East Asian and industrialised countries and employ a generalised gravity model. In the empirical analysis we use a panel comprising 25 years of quarterly data and perform unit‐root and cointegration tests to verify the long‐run relationship among the variables. The results provide strong evidence that exchange rate volatility has a negative impact on the exports of emerging East Asian countries. In addition, the results suggest that the pattern of bilateral exports is influenced by third‐country variables. An increase in the price competitiveness of other emerging East Asian countries has a negative impact on a country’s exports to a destination market, but the magnitude of the impact is relatively small. These results are robust across different estimation techniques and do not depend on the variable chosen to proxy exchange rate uncertainty. The results of the GMM‐IV estimation also confirm the negative impact of exchange rate volatility on exports and suggest that this negative relationship is not driven by simultaneous causality bias.     

Understanding bilateral exchange rate volatility

This paper develops an empirical model of bilateral exchange rate volatility. We conjecture that for developing economies, external financial liabilities have an important effect on desired bilateral exchange rate volatility, above and beyond the standard optimal currency area (OCA) factors. By contrast, industrial countries do not face the same set of constraints in international financial markets. In our theoretical model, external debt tightens financial constraints and reduces the efficiency of the exchange rate in responding to external shocks. We go on to explore the determinants of bilateral exchange rate volatility in a broad cross section of countries. For developing economies, bilateral exchange rate volatility (relative to creditor countries) is strongly negatively affected by the stock of external debt. For industrial countries however, OCA variables appear more important and external debt is generally not significant in explaining bilateral exchange rate volatility.     

Volatility Spillovers and the Risk-Return Relation Between Stock and Foreign Exchange Markets in Brazil

We examine the evidence of mean and volatility spillovers between stock and foreign exchange markets in Brazil with multivariate GARCH models and nonlinear Granger causality tests. We also use a multivariate GARCH-in-mean model to assess the relationship between risk and return in these markets. The results indicate that the stock market leads the foreign exchange market in price formation and that nonlinear Granger causalities from the exchange market to the stock market do occur. Part of these nonlinear causalities are explained by volatility spillovers. We show that exchange rate volatility affects not only stock market volatility but also stock returns.     

Exchange rate jumps and exports: Evidence from China

We apply the autoregressive conditional jump intensity (ARJI ) model to monthly exchange rate returns of China against 81 countries and investigate the impact of exchange rate volatility on exports over the period of 1995–2004. We decompose bilateral exchange rate volatility into continuous and discrete components and find that only the discrete part of exchange rate volatility, that is, the exchange rate jumps, has a significantly negative effect on exports, which to some extent reconciles the old yet unsettled debate in previous literature on the role of exchange rate volatility in international trade. There is also some evidence suggesting that the development of domestic financial market will boost international trade, but it does not help attenuate the negative effect of bilateral exchange rate jump risk on exports.     

Markov switching GARCH models of currency turmoil in Southeast Asia

This paper analyzes exchange rate turmoil with a Markov switching GARCH model. We distinguish between two different regimes in both the conditional mean and the conditional variance: “ordinary” regime, characterized by low exchange rate changes and low volatility, and “turbulent” regime, characterized by high exchange rate devaluation and high volatility. We also allow the transition probabilities to vary over time as functions of economic and financial indicators. We find that real effective exchange rates, money supply relative to reserves, stock index returns, and bank stock index returns and volatility contain valuable information for identifying turbulent and ordinary periods.     

Endogenous exchange rate pass-through when nominal prices are set in advance

This paper develops a model of endogenous exchange rate pass-through within an open economy macroeconomic framework, where both pass-through and the exchange rate are simultaneously determined, and interact with one another. Pass-through is endogenous because firms choose the currency in which they set their export prices. There is a unique equilibrium rate of pass-through under the condition that exchange rate volatility rises as the degree of pass-through falls. We show that the relationship between exchange rate volatility and economic structure may be substantially affected by the presence of endogenous pass-through. Our key results show that pass-through is related to the relative stability of monetary policy. Countries with relatively low volatility of money growth will have relatively low rates of exchange rate pass-through, while countries with relatively high volatility of money growth will have relatively high pass-through rates.     

Exchange rate fluctuations,firm size,and export behavior: an empirical investigation

In this paper, we examine how changes in the exchange rate and its volatility affect the export behavior of manufacturing firms. We also investigate whether both exchange rate changes and exchange rate volatility affect firms of different sizes differently. Applying the two-step system generalized method of moment estimator on our data for a sample of 221 Pakistani manufacturing firms, we find that the real exchange rate depreciation has positive impacts, whereas the exchange rate volatility has negative impacts on firms’ exports. We also find that compared to large-sized firms, small- and medium-sized exporting firms are more likely to benefit from currency depreciations. Yet, regarding the effect of exchange rate volatility, we find that the adverse impact of exchange rate volatility is weaker for large-sized firms as compared to small- and medium-sized firms. Our findings confirm the presence of nonlinearity in export-deterring (favoring) effects of exchange rate volatility (depreciation) on exporting behavior depending on firm size. Pakistan should design and implement export-favoring preferential policies by emphasizing on real exchange rate stabilization and providing incentives to large firms to come into being. Small- and medium-sized enterprises should develop such export strategies that help reduce their size disadvantages, particularly in managing exchange rate risks.     

Market integration and contagion: Evidence from Asian emerging stock and foreign exchange markets

This paper examines whether Asian emerging stock markets (India, Korea, Malaysia, Philippines, Taiwan, and Thailand) have become integrated into world capital markets since their official liberalization dates by estimating and testing a dynamic integrated international capital asset pricing model (ICAPM) in the absence of purchasing power parity (PPP) using an asymmetric multivariate GARCH(1,1)-in-Mean approach. Also examined in this paper is whether there are pure contagion effects between stock and foreign exchange markets for each Asian country during the 1997 Asian crisis. The empirical results show that first, both currency and world market risks are priced and time-varying, suggesting that an international asset pricing model under PPP and constant price of risk might give rise to model misspecification. Second, the stock markets for India, Korea, Malaysia, Philippines, and Thailand were segmented from the world capital markets before their liberalization dates, but all six markets have become fully integrated since then. Third, the market liberalization has reduced the cost of capital and price volatility for most of the countries. Finally, as for the contagion effects, strong positive impact of return shocks originating from the domestic stock market to its foreign exchange market during the crisis is found. This dynamic relationship between stock market and foreign exchange market is consistent with stock-oriented exchange rate models.     

Volatility forecasts embedded in the prices of crude-oil options

This paper evaluates the ability of alternative option-implied volatility measures to forecast crude-oil return volatility. We find that a corridor implied volatility measure that aggregates information from a narrow range of option contracts consistently outperforms forecasts obtained by the popular Black–Scholes and model-free volatility expectations, as well as those generated by a realized volatility model. This measure ranks favorably in regression-based tests, delivers the lowest forecast errors under different loss functions, and generates economically significant gains in volatility timing exercises. Our results also show that the Chicago Board Options Exchange's “oil-VIX” index performs poorly, as it routinely produces the least accurate forecasts.     

Exchange rates and fundamentals: evidence on the economic value of predictability

A major puzzle in international finance is the well-documented inability of models based on monetary fundamentals to produce better out-of-sample forecasts of the nominal exchange rate than a naive random walk. While this literature has generally employed statistical measures of forecast accuracy, we investigate whether there is any economic value to the predictive power of monetary fundamentals for the exchange rate. We find that, in the context of a simple asset allocation problem, the economic value of exchange rate forecasts from a fundamentals model can be greater than the economic value of random walk forecasts across a range of horizons.     

The Information Content of Model‐Free Implied Volatility

This study examines the information content of model‐free implied volatility (MFIV) estimates with respect to the options and futures markets in Hong Kong. In this study, the volatility forecasting performance of MFIV is compared, using different prediction horizons, to IV estimates based on Black's futures option pricing model (BIV) and time‐series forecasts based on historical volatility (TS‐HV). The results show that the BIV prediction is unbiased for different horizon forecasts. MFIV outperforms TS‐HV forecasts and, most importantly, BIV subsumes the information content of both MFIV and TS‐HV forecasts. The results are largely maintained for next‐day forecasts but the forecasting quality of the two IV measures declines as expiration day approaches. The information contents of MFIV and TS‐HV forecasts are complementary. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 32:792‐806, 2012     

A new perspective on the third-country effect: The case of Malaysia–US industry-level trade

Cushman suggested that impact of exchange rate volatility declines after the inclusion of the third-country effect. Like Cushman, when we use a linear analysis, we confirm his results. However, when we engage in asymmetric effects of exchange rate volatility which requires including nonlinear adjustment of volatility measures, the findings show more support to both exchange rate volatility influence and the third-country effect. Therefore, we propose that in examining exchange rate volatility effect on trade, consideration must be given to not just asymmetric effects of exchange rate volatility but also asymmetric effects of the third-country effect. We demonstrate these findings using monthly data from 54 Malaysian industries that export to the US and 63 Malaysian industries that import from the US.     

A Synthesis of the Effects of Exchange Rate Volatility on International Trade: A Meta-Regression Analysis

ABSTRACT

This article surveys literature that investigates the effects of exchange rate volatility on international trade. We perform meta-regression analysis on 41 studies with 807 estimates. We show that the empirical works exhibit substantial publication selection and show a significant genuine exchange rate volatility effect on trade flows after correction of publication bias. In addition, the literature reveals a pronounced heterogeneity with respect to model specifications, samples, time horizons, and countries’ characteristics. These findings are supported by separate assessment of primary studies with, respectively, total exports and sectoral exports as the dependent variable.     

Modeling discontinuous periodic conditional volatility: Evidence from the commodity futures market

This paper examines a wide variety of models that allow for complex and discontinuous periodic variation in conditional volatility. The value of these models (including augmented versions of existing models) is demonstrated with an application to high frequency commodity futures return data. Their use is necessary, in this context, because commodity futures returns exhibit discontinuous intraday and interday periodicities in conditional volatility. The former of these effects is well documented for various asset returns; however, the latter is unique amongst commodity futures returns, where contract delivery and climate are driving forces. Using six years of high‐frequency cocoa futures data, the results show that these characteristics of conditional return volatility are most adequately captured by a spline‐version of the periodic generalized autoregressive conditional heteroscedastic (PGARCH) model. This model also provides superior forecasts of future return volatility that are robust to variation in the loss function assumed by the user, and are shown to be beneficial to users of Value‐at‐Risk (VaR) models. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:805–834, 2004     

后危机时代人民币实际汇率波动 对我国FDI 流入的影响

汇率波动是影响FDI流入的重要因素。基于1994~2012年的时间序列数据,本文构建带有金融危机变量的模型和利用邹氏检验法对后危机时代人民币实际汇率波动与FDI流入的关系进行实证分析。经过实证检验发现,金融危机改变了人民币实际汇率波动与FDI流入之间原有的负相关关系,中国成为外资的"避风港"和外商规避贸易壁垒是后危机时代人民币实际汇率波动有利于FDI流入的两个主要因素。同时,人民币实际汇率的波动更加贴近市场实际汇率水平,会增加FDI的流入,有利于我国经济的发展与稳定。     

汇改对我国中小企业出口的影响测度与预测——基于汇改后月度数据的实证分析

当前我国中小企业出口经营困境凸显,进一步汇改是否会加剧其困境成为关注的焦点。本文基于汇改后的月度数据,采用GARCH模型分析各次汇改对汇率弹性的影响特征,构建向量误差修正模型测度和预测汇改对中小企业出口的影响。结果表明:汇改促使人民币每升值1%,其出口减少3.874%;汇率弹性增强1%,其出口减少0.034%。预测的中小企业出口总额较为平稳。进一步汇改以增强汇率弹性为核心不会对中小企业出口总量造成大的冲击。