Do the changes in macroeconomic variables have a symmetric or asymmetric effect on stock prices? Evidence from Pakistan

2018 ◽  
Vol 7 (3) ◽  
pp. 312-331 ◽  
Author(s):  
Bisharat Hussain Chang ◽  
Suresh Kumar Oad Rajput

PurposeThe purpose of this paper is to examine whether macroeconomic variables have a symmetric or asymmetric effect on stock prices (SP) of Karachi Stock Exchange 100 index in the context of Pakistan. It also examines whether the asymmetric impact of macroeconomic variables on SP has been affected by tail events such as the global financial crisis.Design/methodology/approachThis study uses linear and nonlinear autoregressive distributed lag models for the full sample period as well as in pre- and post-crisis periods. The whole sample period covers the data from June 2004 to June 2016 which include 145 observations in total. The pre-crisis period covers data from June 2004 to December 2007 and the post-crisis period covers the data from January 2009 to June 2016 where these periods include 43 and 90 observations, respectively.FindingsThe findings suggest that the relationship between macroeconomic variables and SP is asymmetric in the short run whereas this effect is symmetric in the long run when the whole sample period is selected. However, when pre- and post-crisis periods are selected this effect becomes asymmetric in the long run as well; that is, positive and negative shocks in macroeconomic variables do not affect the SP in the same way.Practical implicationsInvestors, governments and other stakeholders are advised to consider the asymmetric behavior of macroeconomic variables and SP while making an investment or other decisions. They may consider the financial crisis as well since the asymmetric behavior of the underlying variables change as a result of the financial crisis.Originality/valueThis study extends previous studies by examining the asymmetric effect of macroeconomic variables and also contributes to the existing literature by discussing how this relationship changes as a result of the financial crisis.

2018 ◽  
Vol 13 (04) ◽  
pp. 1850015 ◽  
Author(s):  
BISHARAT HUSSAIN CHANG ◽  
SURESH KUMAR OAD RAJPUT ◽  
NIAZ HUSSAIN GHUMRO

Recent studies have been mainly focusing on whether exchange rate changes have a symmetric or asymmetric effect on the trade balance. We revisit this question in the context of US and further extend previous studies by determining whether the relationship between these underlying variables change as a result of the global financial crisis. We use both linear autoregressive distributed lag (ARDL) and non-linear ARDL models for the whole sample period as well as in the pre- and post-crisis periods. Findings suggest that exchange rate changes have an asymmetric effect on the trade balance; however, the asymmetric behavior of the underlying variables change as a result of the financial crisis. In the short run, exchange rate asymmetrically affects trade balance in the post-crisis period only. In the long run, there is an asymmetric effect for all sample periods, where only the devaluation of currency significantly affects the trade balance when the whole sample period is selected. On the other hand, in pre- and post-crisis periods, only appreciation of currency significantly affects the trade balance. This study indicates that determining the asymmetric relationship without considering the global financial crisis may lead to spurious results.


2019 ◽  
Vol 8 (3) ◽  
pp. 229-245 ◽  
Author(s):  
Bisharat Hussain Chang ◽  
Muhammad Saeed Meo ◽  
Qasim Raza Syed ◽  
Zahida Abro

Purpose The purpose of this paper is of twofold: first, to empirically examine the short-run and long-run impact of macroeconomic variables such as industrial production, foreign direct investment (FDI), trade balance (TB), exchange rate, interest rate (IR) and consumer price index (CPI) on stock prices (SP) of KSE-100 index; and second, to examine whether this relationship changes as a result of the financial crisis. Design/methodology/approach This study uses an autoregressive distributed lag model by using the full sample period data from 1997Q3 to 2018Q2 and the post-crisis period data from 2008Q3 to 2018Q2. Moreover, it uses variance decomposition analysis to examine the importance of each variable in explaining SP. Findings The findings of the full sample period indicate that in the long run, TB, exchange rate and IR negatively affect SP whereas CPI and industrial production positively affect SP. However, the post-crisis period data indicate that only CPI positively affects the SP in the long run. Finally, variance decomposition analysis indicates 30 percent variance in SP is explained by its own shock. Practical implications The study findings suggest that macroeconomic variables have a significant role and can be considered important for taking investment and/or policy decisions. Especially, Governments and other regulators may need to take measures to increase the TB since it can help to increase the performance of the Pakistani stock market. Furthermore, investors may consider that findings change when the financial crisis has been taken into consideration. Originality/value This study uses two additional variables, namely FDI and TB by using the robust technique in the context of emerging countries like Pakistan. Furthermore, it takes into account the impact of the financial crisis on the underlying variables.


2017 ◽  
Vol 34 (4) ◽  
pp. 447-465 ◽  
Author(s):  
Ali Salman Saleh ◽  
Enver Halili ◽  
Rami Zeitun ◽  
Ruhul Salim

Purpose This paper aims to investigate the financial performance of listed firms on the Australian Securities Exchange (ASX) over two sample periods (1998-2007 and 2008-2010) before and during the global financial crisis periods. Design/methodology/approach The generalized method of moments (GMM) has been used to examine the relationship between family ownership and a firm’s performance during the financial crisis period, reflecting on the higher risk exposure associated with capital markets. Findings Applying firm-based measures of financial performance (ROA and ROE), the empirical results show that family firms with ownership concentration performed better than nonfamily firms with dispersed ownership structures. The results also show that ownership concentration has a positive and significant impact on family- and nonfamily-owned firms during the crisis period. In addition, financial leverage had a positive and significant effect on the performance of Australian family-owned firms during both periods. However, if the impact of the crisis by sector is taking into account, the financial leverage only becomes significant for the nonmining family firms during the pre-crisis period. The results also reveal that family businesses are risk-averse business organizations. These findings are consistent with the underlying economic theories. Originality/value This paper contributes to the debate whether the ownership structure affects firms’ financial performance such as ROE and ROA during the global financial crisis by investigating family and nonfamily firms listed on the Australian capital market. It also identifies several influential drivers of financial performance in both normal and crisis periods. Given the paucity of studies in the area of family business, the empirical results of this research provide useful information for researchers, practitioners and investors, who are operating in capital markets for family and nonfamily businesses.


2020 ◽  
Vol 10 (4) ◽  
pp. 393-427 ◽  
Author(s):  
Ghulam Abbas ◽  
Shouyang Wang

PurposeThe study aims to analyze the interaction between macroeconomic uncertainty and stock market return and volatility for China and USA and tries to draw some invaluable inferences for the investors, portfolio managers and policy analysts.Design/methodology/approachEmpirically the study uses GARCH family models to capture the time-varying volatility of stock market and macroeconomic risk factors by using monthly data ranging from 1995:M7 to 2018:M6. Then, these volatility series are further used in the multivariate VAR model to analyze the feedback interaction between stock market and macroeconomic risk factors for China and USA. The study also incorporates the impact of Asian financial crisis of 1997–1998 and the global financial crisis of 2007–2008 by using dummy variables in the GARCH model analysis.FindingsThe empirical results of GARCH models indicate volatility persistence in the stock markets and the macroeconomic variables of both countries. The study finds relatively weak and inconsistent unidirectional causality for China mainly running from the stock market to the macroeconomic variables; however, the volatility spillover transmission reciprocates when the impact of Asian financial crisis and Global financial crisis is incorporated. For USA, the contemporaneous relationship between stock market and macroeconomic risk factors is quite strong and bidirectional both at first and second moment level.Originality/valueThis study investigates the interaction between stock market and macroeconomic uncertainty for China and USA. The researchers believe that none of the prior studies has made such rigorous comparison of two of the big and diverse economies (China and USA) which are quite contrasting in terms of political, economic and social background. Therefore, this study also tries to test the presumed conception that macroeconomic uncertainty in China may have different impact on the stock market return and volatility than in USA.


2020 ◽  
Vol 11 (9) ◽  
pp. 1827-1845
Author(s):  
Mehmet Asutay ◽  
Jaizah Othman

Purpose The global financial crisis of 2008 still has an impact on the financial systems around the world, for which funding liquidity has been mentioned as one of the main concerns during that period. This study aims to consider the impact of and extent to which the funding structure of Islamic banks along with deposit structure, macroeconomic variables, other bank-specific variables, including alternative funding mix variables (in terms of funding structure measured as financing/deposit ratio), could play a part in explaining the financial conditions and predicting the failures and performances of Islamic banks in the case of Malaysia under the distress created by the global financial crisis. Design/methodology/approach Multivariate logit model was used with a sample including 17 full-fledged Islamic banks in Malaysia for the period from December 2005 to September 2010 by using quarterly data. Findings This study found that the funding mix variable (financing/deposit ratio), the composition of deposits, alternative bank-specific variables and alternative funding mix variables are statistically significant. In contrast, none of the macroeconomic variables is found to have a significant impact on bank liquidity. In the final models, the variables that showed significant performance were selected as explanatory variables. The results of McFadden R-squared for both selected models showed an excellent fit to predict the Islamic banks’ performance. Originality/value This empirical study contributes to the literature in two ways: to the best of the authors’ knowledge, this is the first study to examine the role of the funding structures of Islamic banks in determining their performance; and it also examines the effect of deposit composition (the mudharabah and non-mudharabah deposits) on Islamic banks’ performance.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kuen-Wei Tham ◽  
Rosli Said ◽  
Yasmin Mohd Adnan

Purpose The study on how macroeconomic factors affect non-performing loans (NPLs) have not been focussed on property loans, which had been amongst the largest contributor of NPLs in many countries. At the same time, whilst there are many studies that focusses on NPLs during the recession and financial crises, not many studies focus on how macroeconomic factors affect property NPLs in a recovering economic environment. The purpose of this study seeks to fill the gap by analysing the relationships between gross domestic product (GDP), interest rates, income, foreign direct investments (FDI), housing prices and taxes on property NPLs with Malaysia as a case study in which NPLs rose for the first time after declining for almost a decade since the 2008–2009 global financial crisis. This study aims to understand the dynamics and direction of causation in relationships. Design/methodology/approach The author uses the auto regressive distribution lag analysis between the independent variables of GDP, interest rates, housing prices, service taxes, percapita income and FDI affecting the dependent variable of property NPLs from 2009 to 2017, during a unique period of recovering economic environment where NPLs rose for the first time in almost a decade of decline. Findings This study found that interest rates, housing prices, income, GDP and service taxes were found to possess long cause effects and long run elasticity with NPLs. At the same time, interest rates were found to implicate property NPLs significantly in longer periods, followed by GDP, housing prices, service taxes and income. FDIs were found to be insignificantly negative in implicating property NPLs in the long run. Research limitations/implications This paper allows policymakers to understand the dynamic implications of crucial macroeconomic factors in affecting NPLs so that appropriate strategic monetary policies could be formulated towards addressing them. More focus shall be given to addressing the long term implications of these factors on NPLs. Practical implications Appropriate strategic monetary policy making can be channelled towards addressing these factors via understanding the short and long term implications of macroeconomic variables on property NPLs. Policymakers can take note of the long cause effects and long run elasticity of average interest rates, housing prices, income levels, GDP and service taxes with property NPLs so that appropriate long term policies can be addressed to control the rise of property NPLs in the country. At the same time, priority should be given towards strengthening of the GDP of the country due to its strongest impact in long term effects with reduction of NPLs in the country. Social implications The insights from the present study suggest policymakers interested in bringing stability in the real estate finance system need to account for the various macroeconomic variables found in this study. Originality/value The paper is novel on at least two dimensions. First, this study involves focussing on a unique period of recovering economic environment where NPLs rose for the first time after a decade of decline since recovering from the 2008–2009 global financial crisis. At the same time, this study focusses on property NPLs, which is unique in nature compared to general NPLs. This study had enabled policymakers to better understand the dynamic implications of several macroeconomic variables affecting property NPLs and assist them in strategic monetary policy making.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohini Gupta ◽  
Sakshi Varshney

PurposeThe aim the study is to explore the impact of real exchange rate volatility and other macroeconomic variable such as price of import, industrial production and real exchange rate on 45 import commodities, considering global financial crisis period on India's import from the US. The empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effect and causality among variables.Design/methodology/approachThe study uses E-GARCH model to gage the real exchange rate volatility, an autoregressive distributive lag (ARDL) bound test technique to discover the adequate short- and long-run relationships and Toda-Yamamoto causality method to analyze the causality among variables. The study uses the time period from 2002:M09 to 2019:M06.FindingsThe empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effects and causality among variables.Practical implicationsThe finding of the study suggests that macroeconomic variables have significant role and could be important to undertake the small and medium scale industries in policymaking. Government may need to make decision for micro, small and medium enterprises (MSMEs) as their performance can bring change in the trade to compete globally by increasing and controlling the price of the import and defending the domestic competitiveness.Originality/valueThe study uses additional variable namely price of import and includes the global financial crisis period to measure dampening effect on each commodity by using robust econometric technique in context of emerging nation like India.


2020 ◽  
Vol 11 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Muhamad Abduh

Purpose This study aims to investigate the volatility of conventional and Islamic indices and to explore the impact of the global financial crisis toward the volatility of both markets in Malaysia. Design/methodology/approach The data consist of financial times stock exchange group (FTSE) Bursa Malaysia Kuala Lumpur Composite Index and FTSE Bursa Malaysia Hijrah-Shari‘ah Index covering the period January 2008-October 2014. Generalized autoregressive conditional heteroskedasticity is used to find the volatility of the two markets and an ordinary least square model is then used to investigate the impact of the crisis toward the volatility of those markets. Findings Interestingly, the result shows that Islamic index is less volatile during the crisis compared to the conventional index. Furthermore, the crisis is proven to significantly affect the volatility of conventional index in the short run and Islamic index in the long run. Originality/value This study explores the volatility–financial crisis nexus, especially for the Islamic financial markets, which to the best of the author’s knowledge, is still lacking empirical research which may improve the understanding upon this issue.


2018 ◽  
Vol 45 (6) ◽  
pp. 1145-1158 ◽  
Author(s):  
Ekta Sikarwar

Purpose The purpose of this paper is to examine the presence of exchange rate exposure and its relationship with currency derivatives usage in the dynamic environment of the global financial crisis of 2008. Design/methodology/approach Using a sample of 624 Indian firms over the period of April 2001–March 2016, this paper investigates the linear and asymmetric exposure by dividing the full sample period into different sub-periods around the crisis. Findings The evidence presented in the paper suggests that the firms are more exposed to the exchange rate changes since the onset of the financial crisis. However, there is a lack of evidence that the usage of currency derivatives is more effective in reducing exposure during the crisis/post-crisis period as opposed to the pre-crisis period. Practical implications The findings are important to investors and managers for a better understanding of firm behaviours in relation to their risk management policies during the period of external shocks like crisis. Originality/value There is a paucity of research to explore whether the effect of currency derivatives usage on exchange rate exposure varies during external shocks such as crisis periods. The paper provides novel evidence that the effectiveness of derivatives usage in alleviating exposure becomes less during the dynamic environment of crisis.


2020 ◽  
Vol 32 (2) ◽  
pp. 177-195
Author(s):  
Abdelkader Derbali ◽  
Ali Lamouchi

Purpose The purpose of this paper is to understand and compare the extent and nature of the impact of foreign portfolio investment (FPI) on the stock market volatility, particularly in the Southeast Asian emerging markets, and compare that against the corresponding experience of Indian economy, in the context of a global financial crisis of the recent past. Design/methodology/approach The Asian emerging markets are now being perceived as becoming financially more and more vulnerable to international events because of their growing exposure to unstable foreign investment flows. The daily net FPI inflow and the daily leading stock market composite index of four countries, namely, Thailand, the Philippines, Indonesia and India, have been analyzed using autoregressive conditional heteroscedasticity (ARCH)-generalized ARCH group of models dividing the study period from 2000 to 2014 among pre-crisis, crisis and post-crisis period separately. Findings The study reveals that the net inflow of FPI has been a significant determinant of stock market returns in all countries. The impact of volatility spillover from the FPI market to the stock market in the sample countries has been found to be different under different market conditions. The past information and volatility clustering have been significantly influencing the stock market return volatilities of all these Southeast Asian countries on average. Originality/value However, there are significant country-wise differences in the relative importance and direction of the relationship of each of these effects with the volatility of the FPI and the stock markets. These effects have been different in these four different markets and they have significantly altered in strength and significance during the global financial crisis and in the post-financial crisis period.


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