Nominal uncertainty,real uncertainty and macroeconomic performance in a time-varying asymmetric framework: Implications for monetary policy

This study examines the dynamic causal links and volatility spillovers of inflation, output growth and their uncertainties in four South Asian countries, namely, Pakistan, India, Bangladesh and Sri Lanka by utilizing asymmetric GARCH family models. Our empirical evidence supports a number of important conclusions. There is an overwhelming support for Friedman-Ball hypothesis of positive inflation-uncertainty trade-off for all countries excluding India and Sri Lanka. The Cukierman-Meltzer’s idea that inflation uncertainty generates inflation, hold for Bangladesh and Sri Lanka only and the Holland’s hypothesis of negative influence of inflation uncertainty on level inflation is supported by India only. The positive influence of output uncertainty on inflation (Devereux (1989) hypothesis) is supported by all countries excluding Bangladesh while nominal uncertainty (real uncertainty) has negative (positive) effect on output growth in Pakistan (Bangladesh). Output growth is reducing real uncertainty in all countries excluding Sri Lanka and nominal uncertainty in Pakistan only. There is significant negative relationship between inflation and output growth for Pakistan only while real uncertainty is positively (negatively) related with nominal uncertainty in India (Bangladesh). The estimated results are almost robust with the simultaneous estimation procedure for testing the main hypotheses. In general, there is asymmetric effect and persistence of the GARCH parameters for all countries. The study suggests that the concerned central banks should pay more attention to the effects of macroeconomic uncertainty and should focus their monetary policy strategy on stabilizing both output growth and inflation.     

Returns,Volatilities, and Correlations Across Mature,Regional, and Frontier Markets: Evidence from South Asia

We investigate returns, volatilities, and correlations across mature, dominant regional, and frontier equity markets. Standard & Poor's 500 is chosen as a mature equity market; India is chosen as a dominant regional market; and Bangladesh, Pakistan, and Sri Lanka are chosen as frontier markets. Our empirical tests show that the frontier markets remain fundamentally decoupled from the mature markets during normal market periods. During turbulent times, the contagion effects from the mature to the frontier markets become more pronounced. The results suggest that the dominant regional market plays a key role in disseminating shocks across the frontier markets during normal periods; during the turbulent recent financial crisis period, a similar contagion is not observed.     

The Determinants of Stock Prices: New Evidence from the Indian Banking Sector

We examine the determinants of stock prices for major Indian banks using panel data modeling techniques. Our work is novel because, for the first time in the literature on Indian banking, we use a panel Granger causality test that reveals the direction and sign of causality. We find evidence of panel cointegration among stock prices, economic activity, interest rates, and exchange rates for thirteen banks. Our results suggest that while economic activity and currency depreciation contribute to a rise in share prices, an increase in the interest rate reduces bank share prices. Moreover, only economic activity Granger-causes stock prices in the long run.     

Price-volume Correlation in the Housing Market: Causality and Co-movements

Housing market cycles are featured by a positive correlation of prices and trading volume, which is conventionally attributed to a causal relationship between prices and volume. This paper analyzes the housing markets in 114 metropolitan statistical areas in the United States from 1990 to 2002, treats both prices and volume as endogenous variables, and studies whether and how exogenous shocks cause co-movements of prices and volume. At quarterly frequency, we find that, first, both home prices and trading volume are affected by conditions in labor markets, the mortgage market, and the stock market, and the effects differ between markets with low and high supply elasticity. Second, home prices Granger cause trading volume, but the effects are asymmetric—decreases in prices reduce trading volume, and increases in prices have no effect. Third, trading volume also Granger causes home prices, but only in markets with inelastic supply. Finally, we find a statistically significant positive price–volume correlation; which, however, is mainly explained by co-movements of prices and volume caused by exogenous shocks, instead of the Granger causality between prices and volume.     

Macroeconomic determinants of stock market capitalization in an emerging market: fresh evidence from cointegration with unknown structural breaks

This article explores the macroeconomic determinants of stock market development in an emerging market (Pakistan) over the period of 1974–2010. We have applied Zivot–Andrews unit root test for integrating properties of the variables and the autoregressive distributed lag bounds testing for cointegration. The direction of causality between the variables is investigated by applying the vector error-correction model Granger causality approach. Our results revealed that variables are cointegrated for long run relationship. Economic growth, inflation, financial development and investment increase stock market development, but trade openness decreases it. The causality analysis confirms that stock market development is a Granger cause of economic growth, inflation, financial development, investment and trade openness. This article indicates the importance of trade openness while formulating a comprehensive financial policy.     

DIVERGENT EXPECTATIONS AND THE ASIAN FINANCIAL CRISIS OF 1997

An important question concerning integration of global financial markets is whether local investors in an equity market react differently from international investors, particularly during periods of financial crisis. Considering local investors are closer to information, they might turn pessimistic before foreign investors before a crisis. We examine whether local investors in each of the six Asian stock markets—Indonesia, Korea, Malaysia, the Philippines, Taiwan, and Thailand—reacted differently from international investors during the 1997 Asian financial crisis. Our empirical results indicate that, in general, closed‐end country fund share prices (mainly driven by foreign investors) Granger‐cause the respective net asset values (NAVs, mainly driven by local investors). Moreover, this one‐way Granger‐causality effect from share prices to NAVs becomes much stronger during the crisis period after controlling for U.S. stock returns. Our results suggest international investors turned pessimistic before local investors. JEL classification: G15     

Price Linkages Between the US,Japan and UK Stock Markets

This study presents an empirical analysis of the short- and long-term relationships among stock prices in the US, Japan and the UK. We re-examine the evidence of market linkages and cointegration between S&P 500, Nikkei 225 and FTSE-100 stock indices. The results suggest that mature markets are cointegrated, indicating a stationary long-run relationship. Furthermore, Granger causality tests show a bi-directional causality between Nikkei 225–FTSE-100, and unidirectional causalities between S&P 500–FTSE-100 and S&P 500–Nikkei 225. These findings suggest that the potential for diversifying risk by investing in mature markets is limited.     

汇率制度改革后中国股市与汇市关系——人民币名义汇率与上证综合指数的实证研究

本文利用协整检验和Granger因果检验的计量方法研究了汇率制度改革后中国股市与汇市的关系。实证结果表明,汇率制度改革后中国股市与汇市存在长期稳定的协整关系,人民币升值是中国股市上扬的单向Granger原因。最后,本文利用国际收支和资本流动理论对这些实证结果作了进一步解释,并提出了相应的政策建议。     

The dynamics of economic growth,oil prices,stock market depth,and other macroeconomic variables: Evidence from the G-20 countries

This paper examines the linkages between economic growth, oil prices, depth in the stock market, and three other key macroeconomic indicators: real effective exchange rate, inflation rate, and real rate of interest. We employ a panel vector autoregressive model to test Granger causality for the G-20 countries over the period 1961–2012. A novel approach to this study is that we clearly demarcate the long-run and short-run relations between the economic variables. The results show a robust long-run economic relationship between economic growth, oil prices, stock market depth, real effective exchange rate, inflation rate, and real rate of interest. In the long run, real economic growth is found to respond to any deviation in the long-run equilibrium relationship that is found to exist between the different measures of stock market depth, oil prices, and the other macroeconomic variables. In the short run we find a complex network of causal relationships between the variables. While the empirical evidence of short-run causality is mixed, there is clear evidence that real economic growth responds to various measures of stock market depth, allowing for real oil price movements and changes in the real effective exchange rate, inflation rate, and real rate of interest.     

我国资产价格波动与通货膨胀关系的理论研究与实证分析

随着次贷危机引发全球性金融危机，学术界对于货币政策是否以及如何对资产价格做出反应的争议再起。本文根据协整分析技术、Granger因果检验方法和误差修正模型，利用1998—2008年中国的季度数据，对资产价格与通货膨胀之间的关系进行了实证研究。实证研究表明：第一，我国资产价格与通货膨胀之间确实存在长期的均衡关系，其中房价变动对通货膨胀的影响大于股价变动对通货膨胀的影响；第二，我国资产价格与通货膨胀之间存在着单向的因果关系，即股票价格与房价上涨是通货膨胀的原因。     

货币供应量对股票价格的影响研究——一个基于VAR模型的实证分析

货币政策是影响股票价格的重要因素之一。本文采用向量自回归模型,通过Johanson协整检验、Granger因果检验、脉冲响应函数和方差分解等计量经济学手段,研究了狭义货币供应量M1对我国股票价格的影响。研究结果表明,货币供应量对股票价格的影响不显著。     

Price Transmission Effect between GDRs and Their Underlying Stocks—Evidence from Taiwan

In this paper we examine the price transmission effect between ADRs or GDRs and their respective underlying stocks. This linkage is investigated for Granger causality using difference form and VECM. Results reveal unidirectional causality from Taiwan's capital market to the foreign market. This asymmetry suggests the domestic market plays a dominant role in price transmission relative to the foreign market. Besides, the prices of both markets will make adjustment to establish a long run cointegrated equilibrium. An additional finding is that both the premium and net buy have significant impacts on international price transmission for over twenty percent samples. Empirical outcomes also provide the evidence that our model is quite robust.     

Nonlinearity in the stock price–dividend relation

We provide empirical evidence of nonlinearities in the present value (PV) model of stock prices. We test for nonlinearity both in the contemporaneous and in the dynamic stock price–dividend relation for the UK, the US, Japan, and Germany. We employed three nonlinear nonparametric techniques, namely nonlinear cointegration, locally-weighted regression, and nonlinear Granger causality tests. Whilst there is no evidence of linear cointegration and Granger causality for any country, there is significant evidence of nonlinear cointegration and nonlinear Granger causality for all four countries. Furthermore, out-of-sample forecasts obtained from the locally-weighted regression are more accurate than out-of-sample forecasts obtained from the linear model for the UK, the US, and Japan. These results are robust to sub-period analysis. The results are in line with empirical evidence that expected stock returns are time-varying.     

Asia-Pacific Stock Market Integration: New Evidence by Incorporating Regime Changes

ABSTRACT

This work provides new evidence of Asia-Pacific stock market integration by incorporating the regime changes of each stock market through the smooth transition autoregressive (STAR) model. According to empirical results, most Asia-Pacific stock market returns follow STAR dynamics to a significant degree with more rapid and frequent regime changes of a shorter nature compared with G7 markets. A series of STAR-based Granger causality tests reveal evidence of stronger equity market integration compared with linear Granger causality tests. We also find that Asia-Pacific stock markets are integrated in different levels. Finally, we provide evidence that in the early twenty-first century the influence of China and the United States on Asia-Pacific stock markets has been maintained while that of Japan has been weakened.     

中国的股票价格波动及货币政策反应

本文在阐述中国的股票价格波动情况及成因的基础上，分析中国股票价格的信息功能，并对中国的股票价格与各层次货币供应量进行协整和Granger因果检验。结果表明，从总体上看，中国的股票价格在1995年之后，具备一定的信息功能；股票价格与各层次货币供应量之间存在协整、因果关系。由此，货币当局应对股票价格波动做出反应。文章以前瞻性利率规则为基础，运用IS—PC—AP模型，采用GMM法估计出中国包含股票价格因素的货币政策反应函数。     

Time-varying pattern causality inference in global stock markets

Causality analysis can reveal the intrinsic interactions in financial markets. Though Granger causality test and transfer entropy method have successfully determined positive and negative causal interactions, they fail to reveal a more complex causal interaction, dark causality. Moreover, the causal relationship between variables may be time-varying. Thus, in this work, we are dedicated to determining the nature of causal interaction and explore the time-varying causality in global stock markets. To achieve this goal, pattern causality (PC) theory, cross-convergent mapping (CCM) theory, the sliding window method and complex networks are applied. By them, three causal interactions with different strength are revealed in global stock markets, and the causal strength is time-varying in different periods both in simulated systems and financial markets. While the dominant causal interaction is stable except for some stock pairs in frontier and emerging markets. In total, we determine the positive dominant causality in global stock markets; that is, the overall consistent trend among stocks can be explored. Additionally, we discover some exceptions that show negative dominant causality, where the reverse trend can be revealed among them; moreover, their dominant causality is time-varying. These uncertainties should receive great attention from investors and government managers.     

我国股市与汇市之间关系的再检验——基于滚动时间窗口技术和阈值误差修正模型的证据

本文采用滚动时间窗口的技术,基于协整检验和Granger因果检验的方法,检验我国股票市场和人民币兑美元汇率之间的联动关系。实证结果表明,股价与汇率之间长期均衡关系是随时间变化的。2008年之前,股价与汇率之间总体上不存在长期均衡关系,而且仅存在汇率到股价的单向引导关系。2008年之后,二者之间总体上存在显著的长期均衡关系,而且股价与汇率互为对方变动的Granger原因。运用阈值误差修正模型,我们发现股价与汇率之间的短期均衡存在显著的非对称效应。汇率对股价的短期影响要远远大于股价对汇率的影响。     

A method for evaluating the extreme risk sources of financial markets: The case of stock markets in China

Risk contagion has attracted increasing research attention in recent years. In this paper, we combined conditional Value at Risk (CVaR), Bayesian quantile regression and Granger causality test to propose a Bayesian CVaR–Granger causality test method, which is an efficient tool in analyzing sources of extreme risks in a financial market. Using this method, we determined the sources of extreme risks in major stock markets in China.     

Integration Between the Baltic and International Stock Markets

Using cointegration tests, this paper analyzes the existence of long-run relationships among Baltic stock markets and major international stock markets, including the United States, Japan, Germany, the United Kingdom, and France. Bivariate and multivariate cointegration tests indicate a common trend linking Latvia to European markets. Evidence indicates that the German market dominates this long-run relationship. In general, short-term Granger causality indicates causality running from the European markets to the Baltic markets, as well as among the Baltic states, excepting Latvian and Lithuanian short-term effects on the Estonian market. Overall, the results suggest that international investors can obtain diversification benefits given a long-term investment horizon because of the low degree of integration between the Baltic and international capital markets.     

Investor attention and cryptocurrency: Evidence from wavelet-based quantile Granger causality analysis

This paper investigates the relationship between investor attention and the major cryptocurrency markets by wavelet-based quantile Granger causality. The wavelet analysis illustrates the interdependence between investor attention and the cryptocurrency returns. Multi-scale quantile Granger causality based on wavelet decomposition further demonstrates bidirectional Granger causality between investor attention and the returns of Bitcoin, Ethereum, Ripple and Litecoin for all quantiles, except for the medium. Among them, the Granger causality from investor attention to the returns is relatively very weak for Ethereum. In the short term, the Granger causality from these cryptocurrency returns to investor attention seems symmetric, but in the medium- and long- term, the causality shows some asymmetry. The Granger causality from investor attention to these cryptocurrency returns is asymmetric and varies across cryptocurrencies and time scales. Specifically, investor attention has a relatively stronger impact on the cryptocurrency returns in bearish markets than that in bullish markets in the short term.