FINANCIAL CRISES AND INTERNATIONAL STOCK MARKET VOLATILITY TRANSMISSION

This paper examines the interplay between stock market returns and their volatility, focusing on the Asian and global financial crises of 1997–98 and 2008–09 for Australia, Singapore, the UK, and the US. We use a multivariate generalised autoregressive conditional heteroskedasticity (MGARCH) model and weekly data (January 1992–June 2009). Based on the results obtained from the mean return equations, we could not find any significant impact on returns arising from the Asian crisis and more recent global financial crises across these four markets. However, both crises significantly increased the stock return volatilities across all of the four markets. Not surprisingly, it is also found that the US stock market is the most crucial market impacting on the volatilities of smaller economies such as Australia. Our results provide evidence of own and cross ARCH and GARCH effects among all four markets, suggesting the existence of significant volatility and cross volatility spillovers across all four markets. A high degree of time‐varying co‐volatility among these markets indicates that investors will be highly unlikely to benefit from diversifying their financial portfolio by acquiring stocks within these four countries only.     

股市暴涨暴跌的界定及比较——以中国、美国、英国、日本股市为例

本文运用经验分布函数对中、美、英、日四国股市的暴涨暴跌进行了界定,并对四国股市暴涨暴跌的表现进行了比较分析。相比其它三国,中国股市在过去15年间成长性最强,暴涨暴跌的幅度最大,表现出较强的"政策驱动型"特征。美、英、日股市的暴涨暴跌呈现出明显的"市场和事件驱动型"特征。英国和美国股市波动呈现出较强的同步性,但日本股市波动较为独特。政策建议上,各国应通力合作,以应对全球系统性风险对股市的影响;中国政府应加强股市的市场化建设,同时谨慎开放资本市场。     

Interest Rate Volatility Regimes in Selected Asian Countries:A Univariate Markov Switching Analysis

Business cycle dynamics are determined by relatively large volatilities in output,consumption,and investment,which leads to cyclical fluctuations in interest rates.Using the Markov switching model,we model the nominal interest rate movements to explain the volatility regime shifts in a set of selected emerging Asian economies.The estimated results provide significant evidence of regime-dependent means,variances,and probabilities in both stable and volatile regimes in selected countries,confirming the existence of two distinct regimes in nominal interest rate movements.In addition,the smoothed probability results of switching autoregressive model show that the model is capable of capturing the two regimes for the corresponding nominal interest rate behaviors.Besides,the results reveal that the stables regimes have higher durations than the volatile regimes.This study also shows the advantage of Markov switching models over conventional regression models,allowing the identification of different regimes for the cyclical behavior of interest rates.     

Forecasting growth during the Great Recession: is financial volatility the missing ingredient?

The Great Recession endured by the main industrialized countries during the period 2008–2009, in the wake of the financial and banking crisis, has pointed out the major role of the financial sector on macroeconomic fluctuations. In this respect, many researchers have started to reconsider the linkages between financial and macroeconomic areas. In this paper, we evaluate the leading role of the daily volatility of two major financial variables, namely commodity and stock prices, in their ability to anticipate the output growth. For this purpose, we propose an extended MIDAS model that allows the forecasting of the quarterly output growth rate using exogenous variables sampled at various higher frequencies. Empirical results on three industrialized countries (US, France, and UK) show that mixing daily financial volatilities and monthly industrial production is useful at the time of predicting gross domestic product growth over the Great Recession period.     

我国经济周期波动中实际产出波动性的动态模式与成因分析

本文度量了我国经济周期中的条件波动性 ,并检验了导致实际产出波动性降低的主要原因。我们发现 ,我国经济周期波动性与价格和货币等名义经济波动性之间存在密切关系 ;从产出波动性的成分分解来看 ,产出波动性降低的主要原因源于投资波动性、政府支出波动性和净出口波动性的降低 ,而消费波动性继续保持平稳态势。这意味着宏观经济调控在短期内仍然需要采用需求管理的政策工具 ,但长期内应该注重以市场机制为基础的供给管理政策 ,并适当激活名义经济和实际经济活性 ,以保持经济持续、快速和稳定增长。     

The information content of implied volatility in developed versus developing FX markets

This article predicts the daily movement of monthly foreign exchange (FX) rate volatility using a linear combination of a time-series model and implied volatilities from options. The focus is on analysing the FX volatilities in three developing economies (the Brazilian real (BRL), the Indian rupee (INR) and the Russian ruble (RUB)) against the US dollar (USD). The empirical exercise utilizes two time-series models, mixed data sampling (MIDAS) and GARCH. The analysis indicates that for both developed and developing economies the predictive power of MIDAS and that of GARCH is comparable. Further on in this article, we will ascertain whether the relationship between realized and implied volatility is fundamentally different in the case of developing economies from that among developed economies. Thus, we compare the pairs USD/BRL, USD/INR and USD/RUB against EURO/USD and USD/Japanese yen to determine the information content and predictive power of implied volatilities. Plots of the MIDAS coefficients show that the volatility is more persistent in developing economies than in developed economies.     

Policy uncertainty and international financial markets: the case of Brexit

ABSTRACT

This study assesses the impact of the Brexit probability on both the UK and on international financial markets, for the first and the second statistical moments. As financial markets are by nature highly interlinked, one might expect that the uncertainty engendered by Brexit also has an impact on financial markets in several other countries. We first estimate the time-varying interactions between UK policy uncertainty, which to a large extent is attributed to uncertainty about Brexit and UK financial market volatilities. Second, we use two other measures of the perceived probability of Brexit before the referendum, namely daily data released by Betfair and results of polls published by Bloomberg. Based on these data sets, and using both panel and single-country SUR estimation methods, we analyse the Brexit effect on levels of stock returns, sovereign CDS, 10-year interest rates in 19 predominantly European countries, and those of the British pound and the euro. We show that Brexit-induced policy uncertainty will continue to cause instability in key financial markets and has the potential to damage the real economy in both the UK and other European countries. The main losers outside the UK are the ‘GIIPS’ economies: Greece, Ireland, Italy, Portugal and Spain.     

Determinants of stock market comovements among US and emerging economies during the US financial crisis

By analyzing the dynamic conditional correlations (DCC) of the daily stock returns of 10 emerging economies in comparison with those of the US for the period of 2006–2010, we find different patterns of crisis spillover among 10 emerging economies. While a group of countries has three distinctive phases of crisis spillover (contagion, herding, and post-crisis adjustment), other groups show different phases of crisis spillover. It is also shown that increases in CDS spread and TED spread decrease conditional correlations while increases in foreign institutional investment, exchange market volatility, and the VIX index of the S&P 500 increase conditional correlations.     

The linkages,persistence, asymmetry in the volatility,the price discovery and efficiency,and the effect of the US subprime mortgage financial crisis on the spot and the futures market’s returns: the case of India

This article examines the effects of persistence, asymmetry and the US subprime mortgage crisis on the volatility of the returns and also the price discovery, efficiency and the linkages and causality between the spot and futures volatility by using various classes of the ARCH and GARCH models, and through the Granger’s causality. We have used two indices: one for spot and the other for futures, for the daily data from 12 June 2000 to 30 September 2013 from Nifty stock indices. We have then tested for ARCH effects, and subsequently employed various models of the ARCH and GARCH conditional volatility. The GARCH(1,1) model is found to be significant, and it implies that the returns are not autocorrelated and have ‘short memory’. It supports the hypothesis of the efficiency of the markets. The negative ‘news’ has more significant effect on volatility, corroborating the ‘leverage impact’ in finance on market volatility. We have also tested the volatility spillover effects. The two methods we employed support the spillover effects and the causality is bidirectional. We also have used the dummy variable for the US subprime mortgage financial crisis and found that they are statistically significant. Indian stock market is thus integrated to the world stock markets.     

US money supply and global business cycles: 1979–2009

This article investigates the effects of the US money supply shock on global business cycles by employing a global vector autoregressive model containing 26 economies over the period from 1979Q2 to 2009Q4. The US money supply is incorporated as an endogenous variable for the US and a global factor for other economies. When a positive US money supply shock hits the global economy, developed economies (such as the US, Euro area and the UK) will have neither real output decline nor inflation pressure, while China and some other developing countries are going to have a significant decline of real GDP. The international spillover of the liquidity effect exists. The global effects of quantitative easing are discussed as well.     

Mind the Gap! International Comparisons of Productivity in Services and Goods Production

Abstract. In this paper, we make a comparison of industry output, inputs and productivity growth and levels between seven advanced economies (Australia, Canada, France, Germany, the Netherlands, United Kingdom and United States). Our industry-level growth accounts make use of input data on labour quantity (hours) and composition (schooling levels), and distinguish between six different types of capital assets (including three information and communication technology (ICT) assets). The comparisons of levels rely on industry-specific purchasing power parities (PPPs) for output and inputs, within a consistent input–output framework for the year 1997. Our results show that differences in productivity growth and levels can be mainly traced to market services, not to goods-producing industries. Part of the strong productivity growth in market services in Anglo-Saxon countries, such as in Australia and Canada, may be related to relatively low productivity levels compared with the United States. In contrast, services productivity levels in continental European countries were on par with the United States in 1997, but growth in Europe was much weaker since then. In terms of factor input use, the United States is very different from all other countries, mostly because of the more intensive use of ICT capital in the United States.     

Inflation targeting in emerging economies: Panel evidence

This paper shows there is no evidence that the inflation targeting regime (IT) improves economic performance as measured by the behavior of inflation and output growth in developing countries. The control of common time effects results in less negative and less significant IT impacts on inflation, inflation volatility and output growth volatility than previously found in the literature. Additionally, our analysis shows robust evidence of lower output growth during IT adoption. On balance, although lower long-run mean inflation signals that the central banks of emerging economies with inflation targeting are more inflation-averse, the costs of disinflation have not been lower than under other monetary regimes.     

Forecasting European economic policy uncertainty

Forecasting the economic policy uncertainty in Europe is of paramount importance given the ongoing sovereign debt crisis. This paper evaluates monthly economic policy uncertainty index forecasts and examines whether ultra‐high frequency information from asset market volatilities and global economic uncertainty can improve the forecasts relatively to the no‐change forecast. The results show that the global economic policy uncertainty provides the highest predictive gains, followed by the European and US stock market realized volatilities. In addition, the European stock market implied volatility index is shown to be an important predictor of the economic policy uncertainty.     

The role of the political cycle in the relationship between economic policy uncertainty and the long-run volatility of industry-level stock returns in the United States

In this study, we investigate how US economic policy uncertainty (EPU) drives the long-run components of volatilities in industry-level stock markets. We use a modified specification of GARCH-MIDAS and find that EPU increases the long-run volatility of the industrials and materials industries and decreases it in 4 of the 10 industries considered here: consumer staples, healthcare, information technology and materials. In addition, we add a dummy variable for the political cycle (PLC) to study whether the relationship between EPU and the volatility of industry returns is significantly different under different political regimes. The results imply that a Republican presidency dampens the effects of EPU on the long-run volatility of the consumer staples, healthcare and information technology industries. We also decompose the aggregated EPU into 11 category-specific EPUs to explore the detailed relationship between category-specific EPU and long-run volatility driven by aggregate EPU. The results for the category-specific EPU are consistent with the findings for the aggregate EPU. In particular, the weakened effect of PLC on the relationship between EPU and the long-run volatility of industry-level returns is also confirmed by MIDAS regression with beta weight scheme.     

Regime dependent volatilities and correlation in international securitized real estate markets

This paper studies the role of regime shifts and time-varying volatilities in market integration in a Markov-switching volatility regime environment among the US, European and Asian developed securitized real estate markets. With a two-state volatility model, the study finds the co-dependence, co-movement and synchronization of volatility regime at the high volatility state are stronger between the US and European securitized real estate markets. Although correlations among the markets are higher in a high volatility regime than in a low volatility regime, there is limited evidence of contagious effects during the high volatility periods between some markets. Moreover, the unsecuritized real estate markets are different from their securitized equivalent in the volatility regime characteristics, correlation pattern and level, as well as the extent of correlation change and contagion effect in high volatility state. Thus, the regime-switching results from stock markets may not be automatically extended to the corresponding public real estate markets, and requires rigorous empirical scrutiny.     

Foreign interest rate shocks and exchange rate regimes in East Asia

Using a theoretical dynamic stochastic general equilibrium model and an empirical panel vector autoregression, we assess the transmission of foreign real interest rate shocks on the volatility of various key macroeconomic variables in nine small open economies in East Asia taking into account the role of exchange rate regimes. Both the theoretical and empirical findings confirm the hypothesis that flexible exchange rate may work as a shock absorber when the economy is hit by foreign real interest rate shocks. The findings suggest a clear trade-off between the volatility of real exchange rate and real output to foreign interest rate shocks, both the US and G7 real interest rates, where the responses of real output are mitigated in countries that have more flexible exchange rate regime.     

Rational Partisan Theory: Evidence for Seven OECD Economies

According to the Rational Partisan Theory of business cycles ("RPT"), ex ante uncertainty about the outcome of elections will generate post-election output growth fluctuations. This paper employs vote prediction equations and opinion polls to compute election win probability estimates for 62 elections in seven OECD economies. The probability estimates are used to calibrate partisan intervention terms entered in output growth regressions. For the UK and, to some extent, Canada and Australia, our results are supportive of the RPT. For the US, the calibrated intervention terms are dominated by a partisan dummy variable turned on after each election.     

How integrated are real estate markets with the world market? Evidence from case-wise bootstrap analysis

We investigate the extent by which real estate markets are integrated with the world market. We apply a case-wise bootstrap analysis — a method that is robust to non-normality and increased volatility that characterises financial markets, especially during periods of distress. We also take into account the effect of the global financial crisis. Our investigation is conducted in relation to five most important and highly internationalised real estate markets, namely, the US, UK, Japan, Australia and the United Arab Emirates (UAE). We find that the first four markets are integrated with the world market — with Japan, the US, and the UK being the most integrated, but the last one is not. Our results also show that the US real estate market crisis affected the five markets differently. It made the UAE, Australia and the US real estate markets more integrated internationally but resulted in the Japanese market becoming less globally integrated. In the case of the UK, the crisis did not affect at all its level of integration with the world market.     

Volatility spillovers and macroeconomic announcements: evidence from crude oil markets

The paper applies an event study methodologyaims to investigate the macroeconomic announcements effects on Standard&Poor’s500 and oil prices. Our results provide evidence for a significant impact of the US macroeconomic news on oil prices. This impact is split into two components, namely the direct effect (common response) and indirect effect (volatility transmission). Altogether our results show that the volatility transmission is bidirectional. Not only a significant volatility transmission from the oil market to the US stock market is revealed, but also a high volatility transmission is recorded from the oil market to the stock market especially after the release of consumption indicators.     

The impact of monetary policy on financial markets in small open economies: More or less effective during the global financial crisis?

This paper estimates the impact of monetary policy on exchange rates and stock prices of eight small open economies: Australia, Canada, the Republic of Korea, New Zealand, the United Kingdom, Indonesia, Malaysia, and Thailand. On average across these countries in the full sample, a one percentage point surprise rise in official interest rates leads to a 1% appreciation of the exchange rate and a 0.5–1% fall in stock prices, with somewhat stronger effects in OECD countries than non-OECD countries (though differences are sometimes not significant). We find little robust evidence of a change in the effect of monetary policy surprises during the recent financial crisis.