Structural change and international stock market interdependence: Evidence from Asian emerging markets

This study investigates the evolving pattern of the interdependence among selected Asian emerging markets and three major stock markets (Japan, UK and US). Using rolling cointegration methods and the recently developed algorithms of inductive causation, we found that time-varying cointegration relationships exist among these stock markets. The results indicate that the wave of financial liberalization policies in the early 1990s led to a significant increase in market linkages which was later weakened during the 1997 Asian financial crisis. Furthermore, the data indicate that Japan and the US have the greatest influence on the emerging markets while the influence of Singapore and Thailand has increased since the Asian financial crisis.     

Official central bank interventions and exchange rate volatility: Evidence from a regime-switching analysis

In this paper, we investigate the effect of central bank interventions on the weekly returns and volatility of the DEM/USD and YEN/USD exchange rate returns. In contrast with previous analyses, we allow for regime-dependent specifications and investigate whether official interventions can explain the observed volatility regime switches. It is found that, depending on the prevailing volatility level, coordinated central bank interventions can lead to either a stabilizing or a destabilizing effect. Our results lead us to challenge the usual view that such interventions always imply increases in volatility.     

The impact of exchange rate volatility on plant-level investment: Evidence from Colombia

We estimate the impact of exchange rate volatility on firms' investment decisions in a developing country setting. Employing plant-level panel data from the Colombian Manufacturing Census, we estimate a dynamic investment equation using the system-GMM estimator developed by Arellano and Bover (1995) and Blundell and Bond (1998). We find a robust negative impact of exchange rate volatility, constructed either using a GARCH model or a simple standard deviation measure, on plant investment. Consistent with theory, we also document that the negative effect is mitigated for establishments with higher mark-up or exports, and exacerbated for lower mark-up plants with larger volume of imported intermediates.     

The dependence structure between the Canadian stock market and the USD/CAD exchange rate: a copula approach

Abstract This paper investigates the dependence structure between the real Canadian stock returns and the real USD/CAD exchange rate returns, using the Symmetrized Joe‐Clayton (SJC) copula function. We estimate the SJC copula with monthly data over the period 1995:1 to 2006:12. Our results show significant asymmetric static and dynamic tail dependence between the real stock returns and the real exchange rate returns, such that the two returns are more dependent in the left than in the right tail of their joint distribution. We explain this asymmetric dependence in terms of an asymmetric interest rate policy by Canadian monetary authorities in response to changes in the real exchange rate during sub‐periods of falling and rising commodity prices.     

Effects of volatility shocks on the dynamic linkages between exchange rate,interest rate and the stock market: The case of Turkey

This study analyzes the dynamic relationship between exchange rate (against US dollar), interest rate and the stock market (both in local currency) of Turkey from January 2003 to September 2013. In particular, the paper tries to answer if the correlations between these important variables change abruptly in high volatile periods and if they do, is this change temporary or permanent? In that manner, we first estimate the dynamic correlations between these variables using the VAR(p)–FIAPARCH(1,d,1)–cDCC(1,1) approach. Then, we endogenously detect the volatility shift dates by a novel method of penalized contrast functions and investigate the relation between the dynamic correlations and the high volatile periods. Results reveal that volatility shocks create abrupt changes in the dynamic correlations, however this effect is only short term and do not sustain between consecutive high volatility regimes. Thus, policymakers and investors do not need to be concerned about long run contagion effects.     

Monetary environments and stock returns revisited: A quantile regression approach

We investigate the impact of monetary conditions on stock market returns at different points on the return distributions. Our results reveal no association between stock returns and monetary environments at the lower quantiles. At the upper quantiles, however, we find that expansive monetary conditions lead to significantly larger stock returns. The relationship between returns and monetary conditions at the upper quantiles is also found to be asymmetric, exhibiting a monotonic increase in responsiveness at successive quantiles.     

Conditional volatility and correlations of weekly returns and the VaR analysis of 2008 stock market crash

Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated during the recent financial crisis. We shall examine the nature of asset return correlations using weekly returns on futures markets and investigate the extent to which multivariate volatility models proposed in the literature can be used to formally characterize and quantify market risk. In particular, we ask how adequate these models are for modelling market risk at times of financial crisis. In doing so we consider a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and show that the t-DCC model passes the usual diagnostic tests based on probability integral transforms, but fails the value at risk (VaR) based diagnostics when applied to the post 2007 period that includes the recent financial crisis.     

The impact of government intervention on stock returns: Evidence from Hong Kong

In August 1998, the Hong Kong government, in her effort to restore investors' confidence, purchased shares of the 33 stocks that constitute the Hang Seng Index (HS). We find that the government's action not only reverses the declining trend of the stock market but also reduces the volatility of the market. The main beneficiaries of the action are the shareholders of the stocks that are purchased by the government during the intervention period, and the increase in stock prices persists. Although the shareholders of non-Hang Seng stocks also gain from the intervention, their gain is smaller and does not last.     

Growth under exchange rate volatility: Does access to foreign or domestic equity markets matter?

Employing a firm-level dataset, this paper explores the effects of exchange rate volatility on the growth performances of domestic versus foreign, and publicly traded versus non-traded private manufacturing firms in a major developing country, Turkey. The empirical results using dynamic panel data estimation techniques and comprehensive robustness tests suggest that exchange rate volatility has a significant growth reducing effect on manufacturing firms. However, having access to foreign, and to a lesser degree, domestic equity markets is found to reduce these negative effects at significant levels. These findings continue to hold after controlling for firm heterogeneity due to differences in export orientation, external indebtedness, profitability, productivity, size, industrial characteristics, and time-variant institutional changes.     

Asymmetric volatility of stock returns during the Asian crisis: Evidence from Indonesia

This paper investigates the conditional volatility in stock returns in Indonesia over the period covered by the Asian crisis. Rolling regression parameter estimates from three asymmetric volatility models suggested that all parameters, including those capturing asymmetric response, were time-varying. The precise pattern of adjustment was sensitive to model selection. Nevertheless, increases in asymmetric response patterns appear to coincide with the very large exchange rate devaluations in the rupiah over this period and were followed by more general symmetric short-term volatility in the post crisis period. Estimates from a smooth transition volatility model indicated both sign and size asymmetries during the crisis period.     

The impact of output and exchange rate volatility on fixed private investment: evidence from selected G7 countries

This study examines the impact of shocks to exchange rate and output uncertainty (volatility) on real private fixed investment (FI) in Canada, Germany, the United Kingdom and the United States. The analysis is conducted using vector autoregressive models that contain the price level, real output, the volatility of real output, the real exchange rate, the volatility of the real exchange rate, an interest rate and FI. The results yield important public policy implications with regard to the impact of output volatility of FI. Our analysis indicates that volatility shocks, measured as output volatility or exchange rate volatility, do not have a significant impact on FI for any country in our study.     

South African stock return predictability in the context data mining: The role of financial variables and international stock returns

In this paper, we examine the predictive ability, both in-sample and the out-of-sample, for South African stock returns using a number of financial variables, based on monthly data with an in-sample period covering 1990:01 to 1996:12 and the out-of-sample period of 1997:01 to 2010:04. We use the t-statistic corresponding to the slope coefficient in a predictive regression model for in-sample predictions, while for the out-of-sample, the MSE-F and the ENC-NEW tests statistics with good power properties were utilised. To guard against data mining, a bootstrap procedure was employed for calculating the critical values of both the in-sample and out-of-sample test statistics. Furthermore, we use a procedure that combines in-sample general-to-specific model selection with out-of-sample tests of predictive ability to further analyse the predictive power of each financial variable. Our results show that, for the in-sample test statistic, only the stock returns for our major trading partners have predictive power at certain short and long run horizons. For the out-of-sample tests, the Treasury bill rate and the term spread together with the stock returns for our major trading partners show predictive power both at short and long run horizons. When accounting for data mining, the maximal out-of-sample test statistics become insignificant from 6-months onward suggesting that the evidence of the out-of-sample predictability at longer horizons is due to data mining. The general-to-specific model shows that valuation ratios contain very useful information that explains the behaviour of stock returns, despite their inability to predict stock return at any horizon. The model also highlights the role of multiple variables in predicting stock returns at medium- to long run horizons.     

Nonlinearity and structural stability in the Phillips curve: Evidence from Turkey

In this paper, we investigate possible nonlinearities in the inflation–output relationship in Turkey for the 1980–2008 period. We first estimate a linear bivariate model for the inflation rate and output gap, and test for linearity of the estimated model against nonlinear alternatives. Linearity test results suggest that the relationship between the inflation rate and output gap is highly nonlinear. We estimate a bivariate time-varying smooth transition regression model, and compute dynamic effects of one variable on the other by generalized impulse response functions. Computed impulse response functions indicate that inflation–output relationship in Turkey during the analyzed period was regime dependent and varied considerably across time.     

Consolidation and commercial bank net interest margins: Evidence from the old and new European Union members and candidate countries

This paper examines the effects of financial reforms on the determinants of commercial bank net interest margin in the banking systems of the new EU member countries and candidate countries by dividing the sample period (1995–2006) into two sub-periods: consolidation period (1995–2000) and post-consolidation period (2001–2006). The paper also compares the new and old EU members to check whether differences with respect to the determinants of net interest margins between these two groups of countries exist within the same time period. The results indicate that size and managerial efficiency are negatively and significantly related to net interest margins in the two sub-periods. Regulators should promote merger and acquisition and market entry in order to increase the scale and efficiency of banks operating in the sector. Exploitation of the scale economies seems to be important in decreasing the interest rate spread in the sampled banking sectors. The results further indicate that all macroeconomic variables are statistically insignificant in the second sub-period, suggesting that differences in macroeconomic fundamentals have decreased among the sampled countries due to the increased convergence process in recent years. As for the comparison of the new and old EU members, the results suggest that the financial and economic convergence between the new and old members has not been completed. Macroeconomic differences within the group and between the groups still exist.     

Asymmetric effect of exchange rate volatility on India's cross‐border trade: Evidence from global financial crisis and multiple threshold nonlinear autoregressive distributed lag model

This paper examines the asymmetric effect of exchange rate volatility on India's cross‐border trade with its major trading partners: Japan, Germany, the United States, and China. We extend previous studies in two ways. First, we examine whether global financial crisis changes the asymmetric effect of exchange rate volatility on India's cross‐border trade. Next, we divide exchange rate volatility into quintiles and examine the effect of each quintile on cross‐border trade by using the multiple threshold nonlinear autoregressive distributed lag (MTNARDL) model. Our findings from standard nonlinear ARDL (NARDL) indicate that the asymmetric relationship between exchange rate volatility and cross‐border trade changes as a result of global financial crisis. In addition, findings from MTNARDL indicate that in short‐run, exchange rate volatility symmetrically affects India's cross‐border trade with all sample countries whereas in long‐run it asymmetrically affects cross‐border trade. Overall, these findings are very important for policy implications and open a new dimension to exchange rate volatility and trade flows.     

Asymmetric effects of industrial production,money supply and exchange rate changes on stock returns in Turkey

The aim of this article is twofold: First, it examines the asymmetric effects of industrial production, money supply and RER on stock returns in Turkey by using the non-linear autoregressive distributed lag (NARDL) model over the periods of 1994:01–2017:05 and 2002:01–2017:05. Second, it tries to determine whether there is a change of these macroeconomic variables’ effects on stock returns after the 2001 financial crisis since after 2002 period represents a structural break from the past in terms of economic, political and macroeconomic policy approaches. The study finds that the effects of the changes in industrial production, money supply and RER on stock returns are asymmetric, and the asymmetries are larger after the 2002 subsample compared to the full sample period. The empirical results further suggest that tight monetary policies appear to retard the stock returns more than easy monetary policies that stimulate them.     

The impact of federal funds target changes on interest rate volatility

This paper empirically investigates the 1-day response of interest rate volatility to a federal funds target rate change over the period 1989–2003. Federal funds futures data are used to distinguish between anticipated and unanticipated changes in the funds rate target. Interest rate volatility is modeled as an EGARCH process. The volatility response to an unanticipated Fed policy action is relatively large in size and highly significant for short-term interest rates. However, interest rates at long maturities are found to be responsive to target rate changes, even if they are anticipated, when estimations take into account of structural change in association with the Fed's policy disclosure beginning in 1994, as well as asymmetrical effects between monetary easing and tightening.     

Macroeconomic transitions and the transmission mechanism: Evidence from Turkey

This paper investigates changes to the macroeconomic transmission mechanism in Turkey following a major reform of monetary policy in the early 2000s. We use a Threshold VAR (TVAR) framework to test for and then estimate a model with endogenous transitions between regimes. We detect two regimes, with a clear transition between them in 2003–4. The pre-reform regime is characterized by high inflation, passive monetary policy and persistent responses to shocks. The post-reform regime is characterized by low inflation, active and credible monetary policy and markedly less persistent responses to shocks. Using a model that contains sufficient variables to capture diverse transmission mechanisms, working through the real exchange rate, domestic credit and monetary policy, we find evidence of sharp changes in transmission mechanisms. Post-reform, the response of Turkey to macroeconomic shocks has changed to be similar to those in other modern, market-orientated economies.     

The choice of ownership structure: Evidence from Russian mass privatization

We use a large data set of Russian manufacturing firms to describe the ownership structure in the Russian industry at the end of the mass privatization program in 1994 and its subsequent evolution. The data shows a high, but gradually decreasing ownership stakes of firm insiders (managers and workers). We estimate the effect of a wide range of firm characteristics on the decision to privatize, the initial ownership structure after privatization, and on subsequent changes of ownership stakes. We test and find support for several predictions of the model by Aghion and Blanchard (1998). For example, collusion among workers makes them more reluctant to sell shares to outsiders. Firms in financial distress show a higher incidence of insiders selecting the option of privatization leading to high insider ownership. This can be explained by their desire to insure against unemployment in the case of restructuring by outsiders. No evidence is found of a sequencing in privatization according to the performance of firms before privatization. A methodological novelty of this paper is the application of a tobit model with sample selection to the choice of ownership stakes.     

Dynamic modelling of real estate investment trusts and stock markets

Taiwan launched the first case of real estate securitization in 2005. The interrelationship between Taiwan Real Estate Investment Trusts (T-REITs) and the aggregate equity markets and segmented industries has drawn the interests of both investors and academia. This paper employs Toda and Yamamoto's (1995) procedure and the generalized impulse response approach to uncover the extent and the magnitude of the relationship between T-REITs and aggregate and segmented stock prices. We collected daily data of the first two issued T-REITs, Fubon No.1 and Cathay No. 1, from March 2005 to March 2010 and October 2005 to March 2010, respectively, to examine their causal relationships with aggregate stock markets, the financial sector, and the construction sector. The empirical results indicate that all variables have break points, reflecting shocks from the Subprime Mortgage Crisis or deregulation of the Qualified Domestic Institutional Investors (QDII) for Mainland Chinese to invest in Taiwan. We also discover that an individual T-REIT may lead or lag behind stock price indices due to its capitalization scale or business type. The transitory initial impacts of innovations in T-REITs on stock price indices are observed herein.