Do Financial Systems Converge?

We apply the new panel convergence methodology developed by Phillips and Sul (2007a ) on 13 financial development indices from the World Bank's Financial Development and Structure database, to test for financial system convergence across a large set of industrial and developing countries. Our results indicate that there is no convergence for either the financial systems as a whole or their main segments. Far from decreasing, the differences in the financial systems of the sample countries seemingly persist or even increase over time. These differences are more pronounced for the stock market segment and private credit by banks, and less so for the bond market segment and bank deposits. Moreover, the convergent clubs for most indices transcend the distinction industrial vs developing countries, as well as the distinction bank‐based vs capital‐market‐based financial systems.     

Finance–Growth Nexus and the P‐bias: Evidence from OECD Countries

Recent studies provide new empirical evidence confirming that financial development is linked to economic growth in OECD countries. Using new dynamic panel regression techniques, these appraisals indicate that within the group of high‐income countries stock market size as a measure of financial advancement contributes significantly to overall economic activity. Applying the same advanced techniques, this paper questions this conclusion by showing that the findings of these studies seem to be not only not robust with respect to adding new observations but also likely to be plagued by a severe price bias which belittles the information content of the used financial indicator (stock market capitalization). We provide evidence that anticipative price effects (i.e. expectations of future growth, reflected in current stock prices) may be driving the statistical relationship between stock market activities and economic growth in high‐income countries to a much larger extent than recent analyses of the finance– growth link in OECD countries suggest .     

Globalization and income inequality: A panel data econometric approach for the EU27 countries

This paper investigates the relationship between income inequality and globalization, measured with both trade and financial variables. We estimate an econometric model using appropriate panel data techniques for the EU-27 countries over the period 1995–2009. The analysis is also performed at subgroups of countries within the EU27, such as the Core, Periphery, High Technology, and the New EU Member countries. Overall, the results suggest that trade openness exerts an equalizing effect, while financial globalization through FDI, capital account openness and stock market capitalization has been the driving force of inequality in the EU-27 since 1995. The highest contribution to inequality stems from FDI. Although the trade impact remained robust, disparities were observed in the financial globalization effects within a certain group or among country groups. The recent financial crisis led to a significant rise in inequality only in the EU-periphery and the New Member states. The impact from the other control variables was either minor or insignificant.     

Dynamic correlation and equicorrelation analysis of global financial turmoil: evidence from emerging East Asian stock markets

This study investigates the dynamic conditional correlations (DCCs) between eight emerging East Asian stock markets and the US stock market and analyses the dynamic equicorrelation among these nine stock markets. We find a significant increase in the conditional correlations and equicorrelation in the first phase of the global financial crisis. We refer to this finding as contagion from the US stock market to the emerging East Asian markets. We also find an additional significant process of increasing correlations and equicorrelation (herding) in the second phase of the global financial crisis. Further, we employ two new models, namely DCCX-MGARCH (a DCC Multivariate GARCH model with exogenous variables) and DECOX-MGARCH (a dynamic equicorrelation multivariate GARCH model with exogenous variables), to identify the channels of contagion. We find that an increase in the VIX Index increases the conditional correlations and equicorrelation, while increases in TED spreads decrease the conditional correlations of six emerging East Asian countries with the USA. We compare the accuracy of the conditional correlation estimates of the DCC and DCCX models (or DECO and DECOX models) by constructing a loss function. We find that the DCCX (DECOX) model provides more accurate conditional correlation estimates than the DCC (DECO) model by extracting additional information from exogenous variables.     

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.     

Daily Business and External Condition Indices for the Australian Economy

We estimate an unobservable domestic business conditions index for Australia using a variety of observable macroeconomic and financial variables, relating it to an unobservable external index involving external variables relevant to Australia. Our small open economy, dynamic factor model uses stock and flow variables arriving at mixed frequencies. We find important links between the domestic and external indices, consistent with the small open economy assumption.     

The asymmetric price adjustment between REIT and stock markets in Asia-Pacific markets

This paper applies the threshold error correction model to examine the relationship for real estate investment trusts (REITs) and stock, and their asymmetric adjustment behaviors in six Asian/Pacific financial markets: Australia, Japan, Singapore, Taiwan, Korea, and Hong Kong. Our results show that there has been long-term equilibrium in REIT and stock indices in most of these markets. To earn exceptional profits, it is recommended that investors can sell (buy) the REITs when the indices of REITs are lower (higher) than equilibrium in Australia, Singapore and Taiwan; on the other hand, they should sell (buy) when the REIT market goes up (down) in Hong Kong and Japan. A causality test revealed that previous information about stocks predicted changes in the REITs in all the Asian/Pacific markets. One can also find that the lead–lag relationships are significant. The threshold EC model predicts two-way causality under both the regimes for the financial markets in most countries during all the sample periods. In addition, the adjustment speeds for the stock indices are faster than that for the REIT indices as disequilibrium occurs. This paper also finds that the previous mentioned trading strategies generally remained the same during the period of sub-prime mortgage crisis. However, the threshold EC model predicts one-way causality for both the regimes for the financial markets in most countries during this crisis period. In addition, we also find that the severe shock in REIT markets led investors in Australia and Taiwan to be more conservative during this period. The REIT indices had more effect on stock indices after the sub-prime mortgage crisis. According to the empirical results, we can infer that the degree of market imbalance and the occurrence of the sub-prime mortgage crisis induce the changes in the investment behavior of market participants.     

我国市场利率功能的实证研究

利率市场化是我国利率管理体制改革的重要内容,我国银行间同业拆借市场已经于1996年开始实行市场利率。各项存款、货币供应量、股票成交金额与企业商品价格同比指数是我国金融体系中重要的金融变量。因而,选取并利用全国银行间同业拆借市场加权平均利率代表我国市场利率,借助格兰杰关系检验、向量自回归模型的脉冲响应函数等计量经济学方法,可以研究市场利率与重要金融变量间的相互关系,进一步分析市场利率对金融体系的微观调节功能。     

The integration of direct real estate and stock markets in Asia

Currently, there exists relatively little research investigating the long-term association between stock and direct real estate markets. Using appropriate transaction-based property indices, this study focuses on the relationship between stock and direct real estate markets in nine Asian countries from the period 1980 to 2012 through both linear and nonlinear cointegration techniques. We find empirical evidence of linear cointegration of stock and property markets in Taiwan, fractional cointegration in Singapore and Hong Kong and no evidence of cointegration in China, Japan, Thailand, Malaysia, Indonesia and South Korea. It is concluded that segmentation of property markets from stock markets does not appear to be linked to the differences in the maturity of national financial markets and that the differing degrees of integration across Asia may instead be reflective of a range of factors impacting upon the underlying economic structures in each country.     

Multivariate Analysis of the Condition of the Property Development Sector: Selected Local Real Estate Markets in the European Union

The aim of the study is to serve as a multidimensional analysis of relationships between the economic and financial standing of property developers and the residential property market situation. The discussion concerns the property development market situation in the context of the construction market situation, with particular emphasis on residential housing investment in selected EU countries. Property development companies whose activities focused on residential housing were assessed with respect to performance in the selected market on the stock exchange. Individual companies were classified using economic and financial indices. Despite the ongoing economic downturn in real estate markets, the results for these companies did not indicate poor performance on the stock exchange. In the study, a synthetic measure of development was used in linear ordering.     

Nonlinearities in emerging stock markets: evidence from Europe's two largest emerging markets

Recent developments in time series analysis allow proper modelling of nonlinearities in economic and financial variables. A growing body of research was dedicated to investigation of potential nonlinearities in conditional mean of many economic and financial variables, mainly concentrating in developed economies. However, nonlinearities in financial variables in developing economies have not been fully examined yet. In this article we investigate potential nonlinearity and cyclical behaviour of stock returns in Europe's two largest emerging stock markets, mainly in the Greek and Turkish stock markets. Specifically, we use STAR family models, which allow to model nonlinearities in the conditional mean, for modelling monthly returns on stock exchange indices of the Athens Stock Exchange and Istanbul Stock Exchange. Although we find no nonlinearity in conditional variance, we do find strong evidence in favour of nonlinear adjustment of stock returns. It is found that allowing for nonlinearity in conditional mean results in a superior model and provides good out-of-sample forecasts, which contradicts to efficient market hypothesis.     

Inter-linkages between competition and stabilisation policies in the banking sector and stock market development in Europe

The banking sector and the stock market in Europe have been adversely impacted by a series of global financial crises over the last two decades. Major financial reforms were implemented to enhance the stability and competition within the banking sector. Measures were also implemented to create a vibrant stock market in Europe to stimulate economic growth in Europe. This study examines the interactions between stock market development, banking competition, and banking stability in European countries from 1996 to 2016. The purpose of the study is to understand the inter-linkages between these variables to ascertain the spillover impact of policy reforms in the banking sector on the stock market and vice-versa. Using a vector error-correction model, the study finds long-run and short-run inter-linkages between banking competition, banking stability, and stock market development in European countries. The study’s most robust result is that banking competition and banking stability stimulate stock market development in the long run. There is also some evidence that healthy competition in the banking sector and stock market development instils greater stability in the banking sector. The results suggest that policy measures put in place to create a vibrant stock market must include elevating banking competition and banking stability, with policymakers being cognizant that causality may be bidirectional.     

Private capital inflows and stock market interface in sub-Saharan Africa

The financial market school of thought argues that financial market plays a key role in facilitating capital flows to less developed countries of the world. This school considers stock market a strong and potent channel of attracting and mobilizing capital for development across the globe. The study in this paper is therefore undertaken to determine the validity of this argument, by investigating how the stock market interfaces with other variables to influence capital flows to sub-Saharan Africa. The empirical evidence clearly validates the importance of stock market by showing its direct positive impact on all the components of private capital inflows, an impact that is significantly enhanced by return on investment in the market. The stock market is also revealed to have a maximum threshold that suggests it possesses the capacity to channel a significant proportion of potential capital inflows. These findings point to the importance of raising the level of stock market development in order to attract more capital flows to the region, and indeed the less developed regions of the world.     

Financial intermediation,inclusion, Fintech,and income inequality in Africa: Robust evidence from the supply and demand side data

The current literature on the finance-inequality nexus fall short of providing extensive evidence. This paper fills the gap by framing the financial sector; to the development of financial intermediation (supply side) and individual use of financial services (demand side). The first approach decouples the financial sector into the banking and stock market. We use the 5-year nonoverlapping averaged data from 1980 to 2017 across 49 countries and employ a panel data fixed effect and two-stage least squared estimation (2sls). We show that banking and stock market development widens income inequality. Besides, the effect is more prominent in countries that have a banking and stock market than countries only with the banking sector. The second approach uses financial inclusion and financial technology (Fintech) data from three waves of survey data in 2011, 2014 and 2017 on the individual use of financial services across 39 countries. We obtain three key findings. First, institutional quality significantly affects financial inclusion and Fintech. Second, Fintech positively affects inclusion and savings. Third, financial inclusion and Fintech exacerbate income inequality. Our result asserts a natural tendency that financial sector development exacerbate income inequality in Africa.     

Financial variables and euro area growth: A non-parametric causality analysis

This paper investigates the predictive ability of financial variables for euro area growth through bivariate and multivariate non-parametric Granger causality tests. Apart from assessing the within-country forecasting ability of commonly-employed financial variables, such as the term spread, the stock market returns and the growth of real money supply, we also test for cross-country influences. In this way, we reveal the countries that are more useful in predicting growth in other member countries along with the ones that are more receptive to other countries' financial developments. Our results suggest that financial variables are useful leading indicators for euro area growth at a joint level, albeit at different horizons, ranging from one to six quarters. Our finding of overall increased levels of receptivity among member states provides useful information for policy makers, especially in the case of monetary union such as the euro area.     

Location,location, location: currency effects and return predictability?

Most international financial market studies that compare across countries utilize the US dollar as the common numeraire. We explore the little studied question of the appropriate choice for the base currency and ask if currency choice can affect the final conclusion of whether predictability exists. We provide empirical results for stock return predictability that demonstrate the importance of the numeraire. For example, the existence (absence) of predictability for a US investor does not necessarily imply the existence (absence) of predictability for other foreign investors.     

What matters in the finance–growth nexus of advanced economies? Evidence from OECD countries

Over the last decades, a large strand of finance and growth literature has provided ample evidence on the importance of financial deepening for economic development. Yet, recently, the focus of public debate has shifted towards the role of the financial system structure, an area in which empirical research remains relatively sparse and exploratory in nature. With this article, we aim to contribute to that debate by analysing the role the financial system structure plays in economic growth and risk. Focusing on stock markets and studying OECD economies over 1994–2013, we find that, ceteris paribus, financial systems with relatively larger stock markets facilitate economic growth and dampen economic risk. Our findings remain robust under application of instrumental variable and system generalized method of moments estimators, as well as when we use an alternative definition of stock market development, estimate median regressions, examine relatively high-frequency annual data, control for systemic banking crises or apply quadratic specifications. We find no such effect for private bond markets or private credit volume. Overall, our results suggest that financial system structure matters for the economic development of advanced economies and highlight the importance of a debate about the optimal structure of an economy’s financial system.     

The influence of cultural distance on the volatility of the international stock market

Along with the development of cultural dimensions and cultural distance, the influence of cultural variables on the stock market is attracting more and more attention. In this study, we propose an improved gravity model to examine the relationship between culture and the volatility of the international stock market. Firstly, based on Hofstede's cultural dimensions theory, a model of the impact of cultural dimensions on the volatility of the national stock market is presented. Secondly, cultural distance is incorporated into the extended gravity model. Then, models of the impact of cultural distance on fluctuations in the international stock market and on foreign securities investment are proposed. Finally, the results of case studies using samples of national stock market indices indicate that different cultural dimensions have different influences on the volatility of national stock markets. The smaller the cultural distance between countries, the more similar the level of volatility in those countries' stock markets. Greater cultural similarity promotes increased securities investment between countries.     

Financial openness and financial development: an analysis using indices

This paper examines the link between financial openness and financial development through panel data analysis on advanced and emerging market countries. Using indices, financial openness together with institutional and educational variables explains a large part of the variation in financial development across countries and over time. Our analysis demonstrates that different indexing strategies serve to find better measures for financial openness and financial development in comparison with the individual indicators used in the literature. Our principal-component-type financial openness index conveys a positive effect on financial development independent from the lag structure or specifications used.     

ARDL panel estimation of stock market indices and macroeconomic environment of CEE and SEE countries in the last decade of transition

We tested the hypothesis of the procyclicality of stock exchanges regarding the economic activity of CEE and SEE countries, to measure the level of financial integration during the last decade of the transition period, and to compare these two groups of emerging countries. Our ARDL panel estimates support the hypothesis of procyclicality in the transition period in the CEE and SEE regions, and further financial integration, due to the opening up of the market economy and repricing of systematic risk, followed by large capital inflows, trade liberalization and industrial production, along with the implementation of institutional reforms regarding EU integration. In addition, the significant positive coefficient of capital inflows and negative coefficient of unemployment rate in the CEE and SEE panel ARDL results confirm the volatility of the transition process, as is obvious in higher industrial production, followed by the significant impact of import on CEE countries and the much higher significant impact of export on SEE countries.