The relationship between South Asian stock returns and macroeconomic variables

This article investigates whether economic variables have explanatory power for share returns in South Asian stock markets. In particular, using data for four South Asian emerging stock markets over the period 1998–2012, the article examines the influence of a selection of local, regional and global economic variables in explaining equity returns; most previous studies that have examined this issue have tended to focus on only local and/or global factors. Important factors are identified by distilling the macroeconomic variables into principal components. Economic activities, real interest rates, real exchange rates and the trade balance represent local factors. Regional factors are represented by interregional trade and regional economic activity while global factors are represented by world financial asset returns and world economic activity. The vector autoregression results suggest that the South Asian markets examined are not efficient. Both local and regional factors can directly and indirectly explain Bangladeshi, Pakistani and Sri Lankan stock returns while the lagged returns of the Pakistani stock market and world economic activity can explain Indian stock returns.     

Macroeconomic shocks and stock market returns: the case of Korea

This study examines the effects of macroeconomic shocks on key macro variables, including stock market returns in Korea, using the structural vector autoregression (SVAR) model. We suggest a three-variable SVAR model incorporating inflation, output growth and stock returns. We adopt a nonzero z-ratio restriction for the long-run identifying assumption to allow for economically meaningful relationships among variables. While our results support the negative (positive) relation of demand (supply) shocks to stock returns, we also find that demand shocks influence stock market variance more significantly than supply shocks do. The sub-period analysis finds that global market fluctuations during the global financial crisis have relatively little effect on Korean stock market performance. We also examine a generalized five-variable model that includes the foreign exchange rate and interest rate, confirming the results from the three-variable case.     

Expected risk and excess returns predictability in emerging bond markets

This study examines the predictability of expected excess returns from eight emerging bond markets within an international asset pricing framework. Two sets of instruments are used, which include both world and local factors, to forecast emerging bond returns. Besides investigating the influence of the macroeconomic factors in specific countries on bond returns in those countries, this study also divides local factors into macroeconomic and financial factors. Unlike previous studies, we apply macroeconomic instruments that contain more information on excess returns as a proxy for local risk factors via principal component analysis methodology. The information variable approach enables the prediction of excess bond returns based on world and local factors and facilitating understanding of the degree of integration between emerging bond markets and developed bond markets. The results indicate that the bond market in emerging world is partially integrated to that in the developed world and the predictability of local factors that include both financial and macroeconomic information variables can forecast around 25–66% of the returns of emerging bonds. Incorporating the macroeconomic variables increases the explanatory power of the model. Both world and country-specific local instruments can forecast excess bond returns, but local instruments appear to be better predictors of such returns, particularly the local credit spread to US. Additionally, this study finds that investor risk aversion is significant among most of sample countries.     

Impact of macroeconomic factors and country risk ratings on GCC stock markets: evidence from a dynamic panel threshold model with regime switching

This study examines the non-linear relationship between stock markets in GCC countries and their country risk ratings as well as with major macroeconomic factors. Based on a dynamic panel threshold model with two and four regimes, the results provide evidence of short-term asymmetry between first-lagged GCC stock returns and the performance of GCC stock markets. In addition, only the financial risk (FR) rating has a significant positive effect on the performance of GCC stock markets according to the prevailing regimes for the GCC lagged returns and the Brent oil market. Among the macroeconomic factors, improvements in the global stock markets, the MSCI Global Islamic Index, and the oil price increased the performance of GCC stock markets, whereas increases in the gold price, the 3-month U.S. Treasury bill rate, and the U.S. Treasury bond rate reduced the performance of the GCC stock markets. These results have important implications for investors, policymakers, and portfolio managers.     

Stock exchange mergers and return co-movement: A flexible dynamic component correlations model

The creation of a common cross-border stock trading platform is found, by use of a Flexible Dynamic Component Correlations (FDCC) model, to have increased long-run trends in conditional correlations between foreign and domestic stock market returns.     

全球市场一体化——全球情景下Fama-French三因子模型检验

通过在全球情景下检验Fama-French三因子模型,分析了新兴市场与发达国家的市场一体化水平。沿用Griffin的研究方法,利用涵盖35个国家、时间跨度超过30年的股票市场数据,分析并比较了基于世界、国际和本国三种视角构建的Fama-French三因子模型在解释股票收益差异上的适用性。结果如下:不同国家或地区在市值因子(SMB)、账面市值比因子(HML)和市场资产组合(MRF)上的相关性不足以说明市场一体化水平;三种模型对发达国家和发展中国家的股票市场都具有解释力;与Griffin的研究结果一致,Fama-French本国版模型最能有效解释股票收益率差异,因此没有必要将模型放在全球情景框架下加以考虑。     

货币和资产收益的联动效应——源自通缩与通胀时期的证据

文章建立一个由货币供应、通货膨胀、证券以及房地产市场指数收益指标组成的向量自回归模型,分别利用中国通货紧缩时期以及货币流动性充裕、通胀水平相对较高时期的月度数据,对这些参变量的长期协整关系和短期调整动力学进行系统分析。研究结果提示:(1)宏观当局在实行货币政策时,必须同时防止出现严重的货币流动性过剩或不足;(2)有效抑制国内物价水平短期内的大幅波动,维持国内经济和社会稳定;(3)完善国内证券市场的制度建设,维护投资者信心,使其保持稳步上扬的态势;(4)加大房地产市场的调控力度,避免房地产市场价格出现大起大落,使其逐步与其他宏观经济金融变量建立起比较稳固的长期关系。     

Uncertainty and investment evidence from a panel of Chinese firms

Using data from various Chinese companies for the period 1994–2005 and applying GMM (System) technique, we report some stylized facts regarding the link between uncertainty and investment, where uncertainty is measured as the volatility of daily stock market returns. Controlling for the short- and long-run investment dynamics, we discover important effects of measured uncertainty on firm-level investment. Our study consistently indicates a positive and statistically significant effect of uncertainty on the company investment. Further more the macroeconomic and firm-specific components of uncertainty also have a significant positive effect on their own. Higher risk perception leading to higher investment, and in turn stronger aspirations of reinvestment.     

The relationship between stock prices and exchange rates in South Africa and Nigeria: structural breaks analysis

The relationship between stock prices and exchange rates has continued to generate interest from both the academia and financial industry players for many years. This study conducts an empirical investigation into the relationship between stock prices and exchange rates for the two largest economies in Sub-Saharan Africa – South Africa and Nigeria. Our methodology accounts for structural breaks in the data and the long-run relationship between stock and foreign exchange markets. The results of multivariate causality tests with structural breaks showed that causality runs from exchange rates to domestic stock prices in Nigeria (flow channel) while in South Africa, no causality exists between domestic stock prices and exchange rates. The results also reveal that there is causality from the London stock market to both countries’ stock markets, thus showing that international stock markets are driving both the Nigerian and South African stock markets.     

Outbound Business Travel Depends on Business Returns: Australian Evidence

In an earlier note, Collins and Tisdell (2002b ) explored the possibility of a long-run relationship between Australian business returns and international business travel. Using annual data they found that such a relationship exists. The purpose of this study is to further examine this relationship using quarterly data for the time frame 1974:1 to 1999:4. In addition, previous studies on international business travel have offered some but not strong evidence for the existence of a positive relationship between the level of international business travel and real GDP of the origin country. This study suggests that the aggregate return on business investments is a better predictor of international business travel than GDP. The Engle-Granger and Johansen's maximum-likelihood cointegration procedures are used to show a long-term relationship exists between Australian outbound business travel and Australian business returns, but not with Real Australian GDP. Reasons for this relationship are discussed.     

Cointegration for market forecast in the Spanish stock market

This study is interested in empirically testing the existence of a long-run relationship between the Spanish stock market and its fundamentals, and in checking to which extent this relationship helps in forecasting. This study is concerned with the behaviour of the aggregate Madrid Stock Exchange in a macroeconomic context. It also identifies as macroeconomic fundamentals: industrial production as a proxy for real activity, inflation and interest rates. This study tests the existence of cointegration by Johansen's procedure. The long-run relationships among the variables implied by the existence of cointegration do not allow inference to the interrelations among the variables. To get some insight into the short-run interactions among the variables, an impulse response analysis was performed. This study compares the forecasting ability of its model with respect to alternative multivariate specifications in terms of RMSE. Also measured is the value of the forecast for the financial agents assessing the extent to which it helps improve asset allocation.     

Financial repression,the new structuralists,and stabilization policy in semi-industrialized economies

This paper examines the short-and long-run effects of a variety of macroeconomic policies in a simple model where the curb market plays a pivotal role as the marginal supplier of loanable funds. It is found that financial liberalization may fail in the short-run and, contrary to the claims of the new structuralists, that the financial market repercussions of devaluation may be favorable. In evaluating any policy, the time horizon is critical. Short- and long-run multipliers may differ in sign in all cases, save that of a contraction in the stock of bank credit.     

Profit persistence and stock returns

This article attempts to assemble further empirical evidence on the relationship between the product and the financial market. Drawing back on work in industrial organization, we analyse the relationship between profit persistence and factor-adjusted stock returns looking at about 2000 listed US firms over the last 34 years. While the relationship between (current, lagged and unexpected) profits/earnings and returns has been extensively analysed before, to our knowledge this is the first study to look at the relationship between stock returns and profit persistence. We interpret profit persistence as a result of market competition and innovation of the firm. It is shown that firm-specific long-run profit persistence after correction for other additional economic fundamentals of the firm has a positive impact on four-factor adjusted returns and a negative impact on their volatility.     

全球金融危机前后境内外股票市场联动性实证分析

在梳理国际主要股票市场间联动性研究成果的基础上,本文采用1991-2011年数据,通过对各个时间区间的分析尤其是次贷危机引发的全球金融危机的前后比照,按照由表及里、由特征属性到变化趋势与影响机制的系统与动态分析的思想方法,对国内A股与美国、英国、德国、日本、香港股市之间的联动性进行了实证检验。结论表明：（1）2000年特别是2007年次贷危机以来,境内外主要股市联动性显著增强;（2）境内外股市相互冲击效果不断增大,传导速度加快;（3）在股市资金联动性不断加强的同时,波动幅度也随之扩大;（4）这种市场联动性内在机制是宏观经济（宏观）、资本市场政策和机制（中观）、行为金融情绪（微观）三位一体的互动。本文最后提出了相关政策建议和投资策略建议。     

Financial market development,global financial crisis and economic growth: evidence from developing nations

Emerging and frontier markets in Africa have witnessed various economic and financial reforms aimed at integrating the domestic markets into the global financial market to attract investment. Whether these reforms promote high economic growth remains inconclusive. The paper applies the pooled mean group estimation technique to empirically re-investigate the link between financial market development, global financial crisis, and economic growth in selected African economies. The results strongly support our hypotheses that stock market and banking sector development promotes economic growth in the selected countries. Moreover, financial crisis reduce the positive effects of both the stock market and banking sector developments on economic growth. The study suggests that both the banking sector and stock market are important to deliver the long-run economic growth that the African region desired. Moreover, effort should be made to enact policy measures that would ensure development of the stock market which has received inadequate attention.     

The impact of news,oil prices,and global market developments on Russian financial markets1

This paper analyses the impact of news, oil prices, and international financial market developments on daily returns on Russian bond and stock markets. First, regarding returns, energy news affects returns, while news from the war in Chechnya is not significant. Market volatility does not appear to be sensitive to either type of news. Second, a significant effect of the growth in oil prices on Russian stock returns is detected. Third, the international influence on Russian financial markets depends upon the degree of financial liberalization. The higher the degree of financial liberalization, the stronger is the impact of US stock returns on Russian financial markets. In addition, banking reform and interest rate liberalization efforts seem to dictate the globalization of Russian stock markets, while it is the progress in liberalizing securities markets and non‐bank financial institutions that matters more for the globalization of Russian bond markets.     

Are Co-integrated Stock Prices Consistent with the Efficient Market Hypothesis?

This paper responds to the unsatisfactory argument that there is no correspondence between co-integration and the efficient market hypothesis. A law of one co-integrating vector of prices is proposed for the exchange rate and domestic and overseas stock prices. Markets must therefore be efficient in long-run equilibrium because no arbitrage opportunities exist. However, arbitrage activity via the disequilibrium error correction allows above-average (risk-adjusted) returns to be earned in the short run. The elimination of these arbitrage opportunities means that stock market inefficiency in the short run ensures stock market efficiency in the long run.     

International macroeconomic dynamics: A factor vector autoregressive approach

In this paper international comovements among a set of key real and nominal macroeconomic variables in the US, UK, Canada, Japan and the Euro area have been investigated for the 1980–2005 period, using a factor vector autoregressive approach. We present evidence that comovements in macroeconomic variables do not concern only real activity, but are an important feature also of stock market returns, inflation rates, interest rates and, to a smaller extent, monetary aggregates. Both common sources of shocks and similar transmission mechanisms explain international comovements, with the only exception of Japan, where the idiosyncratic features seem to dominate. Finally, concerning the origin of global shocks, evidence of both global supply-side and demand-side disturbances is found.     

Non-linear causality between the stock and real estate markets of Western European countries: Evidence from rank tests

Using the non-parametric rank tests proposed by Breitung (2001), we set out in this study to determine whether any non-linear long-run equilibrium relationship exists between the stock and real estate markets of Western European countries. We go on to adopt the threshold error-correction model (TECM) to determine whether a similar relationship is discernible possibly non-linear functions of the log-price of these two markets. The findings clearly point to the existence of long-run unidirectional and bidirectional causality between the real estate market and the stock market in regions both above and below the threshold level. Finally, we find the existence of both wealth and credit price effects in the real estate markets and stock markets of Western European countries, which thereby offer financial institutions and individual investors in their construction of long-term investment portfolios within these two asset markets.     

Can oil prices help predict US stock market returns? Evidence using a dynamic model averaging (DMA) approach

Crude oil price behaviour has fluctuated wildly since 1973 which has a major impact on key macroeconomic variables. Although the relationship between stock market returns and oil price changes has been scrutinized excessively in the literature, the possibility of predicting future stock market returns using oil prices has attracted less attention. This paper investigates the ability of oil prices to predict S&P 500 price index returns with the use of other macroeconomic and financial variables. Including all the potential variables in a forecasting model may result in an over-fitted model. So instead, dynamic model averaging (DMA) and dynamic model selection (DMS) are applied to utilize their ability of allowing the best forecasting model to change over time while parameters are also allowed to change. The empirical evidence shows that applying the DMA/DMS approach leads to significant improvements in forecasting performance in comparison to other forecasting methodologies and the performance of these models are better when oil prices are included within predictors.