Herding behavior in the Pakistan stock exchange: Some new insights

This study attempts to examine the presence of herding behavior in the Pakistan Stock Exchange (PSX). The novel contribution of this paper is that it investigates the herding phenomenon from a large number of facets such as herding of firms towards market, herding of firms towards industry portfolios, herding of industry portfolios towards market, herding in mostly traded stocks and in large and small stocks, and herding in the crisis period. For this purpose, we use the herding behavior model of Christie and Huang (1995) on the daily closing prices data of 609 firms listed on the PSX from January 2004 to December 2013. Results show that individual firms do not herd towards market index, except when the market experiences a negative return of 5%. However, when we sort firms into small and large groups based on median market capitalization, results indicate that large firms show herding behavior in extreme market movements. Further, we find that firms in several industries herd towards their industry portfolios. However, we find weak evidence of industry portfolios herding towards the market. We also segregate the impact of financial crisis of 2008 from normal times. These findings support results of our baseline estimation.     

Microstructures,financial reforms and informational efficiency in an emerging market

This paper investigates the effects of microstructures and financial reforms on time-varying informational efficiency in an emerging equity market setting. Our data comprises of firm level data from the Trinidad and Tobago Stock Exchange, over the period 1990–2013. Using a dynamic panel regression framework while controlling for firm size, we find that microstructures, specifically liquidity, volatility, automation and the number of shareholders have an important role in influencing the time-varying efficiency of this emerging market. The financial reforms, namely liberalisation and regulation are not found to have a notable influence. We also consider heterogeneity at the firm level, finding that the microstructures of the banking firms listed in this market have a greater impact on market efficiency, in relation to the other listed firms.     

Spillovers between sovereign CDS and exchange rate markets: The role of market fear

As important variables in financial market, sovereign credit default swaps (CDS) and exchange rate have correlations and spillovers. And the volatility spillovers between the two markets become further complicated with the effect of market fear caused by extreme events such as global pandemic. This paper attempts to explore the complex interactions within the “sovereign CDS-exchange rate” system by adopting the forecast error variance decomposition method. The results show that there is a relatively close linkage between the two markets and the total spillover index of the system is dynamic. For most of the past, the exchange rate has a higher spillover effect on the sovereign CDS than vice versa. Moreover, after the market fear variables are introduced, the “sovereign CDS-exchange rate” system and market fear variables present bidirectional spillovers. The results of the study have particular significance for maintaining the financial stability and preventing risk contagion between markets.     

Is exchange rate risk priced in microfinance?

High microcredit interest rates have often been a source of criticism against the microfinance movement. Research has focused attention on the cost structure of interest rates and more recently on the macroeconomic and macro-institutional factors. While cost structure is probably the most important determinant of interest rates, other factors can also matter. This paper uses an innovative measure of foreign exchange risk to explore its impact on microcredit interest rates. We show that microfinance institutions that operate in countries with fixed exchange rate regimes tend to charge lower interest rates than those operating in countries with floating exchange rate regimes.     

Developments in accounting regulation: A synthesis and annotated bibliography of evidence and commentary in the 2016 academic literature

In this paper key regulation-related findings and commentaries in the 2016 academic literature are synthesized in annotated form. This paper is one in a series of previously published annotated bibliographies published in this journal. Papers published in academic outlets including The Accounting Review, Journal of Accounting Research, Journal of Accounting and Economics, Contemporary Accounting Research, Accounting Horizons, The Journal of Accounting, Auditing & Finance, Journal of Accounting and Public Policy, Journal of Business, Finance & Accounting, The Journal of Financial Reporting, Auditing A Journal of Practice and Theory, and Research in Accounting Regulation were reviewed for potential inclusion. The 2016 literature featured strong regulation-related threads as follows: financial accounting regulation, analysis of individual pronouncements, SEC regulatory activity and its impact, international financial reporting standards, income tax reporting, and auditing.     

A new multiscale decomposition ensemble approach for forecasting exchange rates

Due to the high complexity and strong nonlinearity nature of foreign exchange rates, how to forecast foreign exchange rate accurately is regarded as a challenging research topic. Therefore, developing highly accurate forecasting method is of great significance to investors and policy makers. A new multiscale decomposition ensemble approach to forecast foreign exchange rates is proposed in this paper. In the approach, the variational mode decomposition (VMD) method is utilized to divide foreign exchange rates into a finite number of subcomponents; the support vector neural network (SVNN) technique is used to model and forecast each subcomponent respectively; another SVNN technique is utilized to integrate the forecasting results of each subcomponent to generate the final forecast results. To verify the superiority of the proposed approach, four major exchange rates were chosen for model comparison and evaluation. The experimental results indicate that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach outperforms some other benchmarks in terms of forecasting accuracy and statistical tests. This demonstrates that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach is promising for forecasting foreign exchange rates.     

Exchange rate dynamics and US dollar-denominated sovereign bond prices in emerging markets

Using data on Brazil, Colombia, Mexico, the Philippines, Russia and Turkey, our empirical results show that the exchange rates of their currencies have adequate explanatory power in explaining their US dollar-denominated sovereign bonds, particularly in the post-global financial crisis period. We develop a two-factor pricing model with closed-form solutions for the sovereign bonds in which the correlated factors are foreign exchange rates and US risk-free interest rates that follow a double square-root process relevant in the low interest rate environment. The numerical results and associated error analysis show that the model credit spreads can broadly track the market credit spreads.     

Non-linear exchange rate relationships: An automated model selection approach with indicator saturation

This paper examines whether the explanatory power of exchange rate models can be improved by allowing for cross-country asymmetries and non-linear effects of fundamentals. Both appear to be crucial. The samples include the USD versus pound and yen from 1982:10 to 2013:10, and automated model selection is conducted with indicator saturation. Several non-linear effects are significant at 1%. Further, many of the indicators present in the linear models are eliminated once allowing for non-linearities; suggesting some of the structural breaks found in previous work were an artifact of the misspecified linear functional form. These conclusions are robust to estimation using principal components.     

Exchange rate contagion in Latin America

A regular vine copula approach is implemented for testing for contagion among the exchange rates of the six largest Latin American countries. Using daily data from June 2005 through April 2012, we find evidence of contagion among the Brazilian, Chilean, Colombian and Mexican exchange rates. However, there are interesting differences in contagion during periods of large exchange rate depreciation and appreciation. Our results have important implications for the response of Latin American countries to currency crises originated abroad.     

Financial constraints and asset pricing: comprehensive evidence from London Stock Exchange

This study provides comprehensive evidence on the pricing of financial constraints (FC) risk on London Stock Exchange during the period 1988–2013. Utilizing a large number of proxies for FC, we find that investors are not compensated with higher premia for holding shares of financially constrained firms. To the contrary, in most of the cases, the most constrained firms significantly underperform, both statistically and economically, the least constrained ones. Focussing on the Whited–Wu index to construct a zero-cost FC factor that goes long the most constrained firms and sells short the least constrained ones, we find that this factor carries a significantly negative premium and it is priced in the cross-section over and above the commonly used risk factors.