Assessment of return and volatility spillover across sectors' indices: evidence from Pakistan stock exchange

2021 ◽  
Vol 14 (5) ◽  
pp. 477
Author(s):  
Hafiza Muntaha Khalid ◽  
Sadia Farooq ◽  
Faiza Liaqat ◽  
Muhammad Naeem
Keyword(s):  
Stock Exchange ◽  
Volatility Spillover

An investigation of price discovery and volatility spillovers in India’s foreign exchange market

2015 ◽  
Vol 42 (2) ◽  
pp. 261-284 ◽  
Author(s):  
Sanjay Sehgal ◽  
Wasim Ahmad ◽  
Florent Deisting
Keyword(s):  
Price Discovery ◽  
Stock Exchange ◽  
Futures Market ◽  
Volatility Spillover ◽  
Futures Prices ◽  
Content Type ◽  
Volatility Spillovers ◽  
Currency Market ◽  
Short Run

Purpose – The purpose of this paper is to examine the price discovery and volatility spillovers in spot and futures prices of four currencies (namely, USD/INR, EURO/INR, GBP/INR and JPY/INR) and between futures prices of both stock exchanges namely, Multi-Commodity Stock Exchange (MCX-SX) and National Stock Exchange (NSE) in India. Design/methodology/approach – The study applies cointegration test of Johansen’s along with VECM to investigate the price discovery. GARCH-BEKK model is used to examine the volatility spillover between spot and futures and between futures prices. The other two models namely, constant conditional correlation and dynamic conditional correlation are used to demonstrate the constant and time-varying correlations. In order to confirm the volatility spillover results, the study also applies test of directional spillovers suggested by Diebold and Yilmaz (2009, 2012). Findings – The results of the study show that there is long-term equilibrium relationship between spot and futures and between futures markets. Between futures and spot prices, futures price appears to lead the spot price in the short-run. Volatility spillover results indicate that the movement of volatility spillover takes place from futures to spot in the short-run while spot to futures found in the long-run. However, the results of between futures markets exhibit the dominance of MCX-SX over NSE in terms of volatility spillovers. By and large, the findings of the study indicate the important role of futures market in price discovery as well as volatility spillovers in India’s currency market. Practical implications – The results highlight the role of futures market in the information transmission process as it appears to assimilate new information quicker than spot market. Hence, policymakers in emerging markets such as India should focus on the development of necessary institutional and fiscal architecture, as well as regulatory reforms, so that the currency market trading platforms can achieve greater liquidity and efficiency. Originality/value – Due to recent development of currency futures market, there is dearth of literature on this subject. With the apparent importance of currency market in recent time, this study attempts to study the efficient behavior of currency market by way of examining the price discovery and volatility spillovers between spot and futures and between futures prices of four currencies traded on two platforms. The study has strong implications for India’s stock market especially at the time when its currency is under great strain owing to the adverse impact of global financial crisis.

RETURN AND VOLATILITY SPILLOVER BETWEEN SECTORAL STOCK AND OIL PRICE: EVIDENCE FROM PAKISTAN STOCK EXCHANGE

2017 ◽  
Vol 12 (02) ◽  
pp. 1750007
Author(s):  
MUHAMMAD IRFAN MALIK ◽  
ABDUL RASHID
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Hedge Fund ◽  
Oil Prices ◽  
Optimal Portfolio ◽  
Oil Price ◽  
Price Transmission ◽  
Volatility Spillover ◽  
Hedge Ratios ◽  
Short Run

This paper aims to investigate the return and volatility spillover between world oil prices and the sectoral stock of Pakistan. We estimate a bivariate VAR(1)-AGARCH (1,1) model using weekly data sampled from January 1, 2001 to December 31, 2015. The model results are used to estimate the optimal portfolio weights and hedge ratios. The empirical findings suggest no short-run price transmission between world oil prices and stock sectors of Pakistan Stock Exchange. Only the past unexpected shocks in world oil prices has significant effect on the volatility of sectoral stock returns of Pakistan Stock Exchange, and no volatility spillover exist between world oil price and stock sectors. The optimal portfolio weights and hedge ratios for oil/stock holdings are sensitive to sectors considered. These findings are of great interest for policy makers, hedge fund managers, [Formula: see text] investors and market participants.

Shock and Volatility Spillovers Among Equity Sectors of the National Stock Exchange in India

2017 ◽  
Vol 19 (1) ◽  
pp. 227-240 ◽  
Author(s):  
Sayantan Bandhu Majumder ◽  
Ranjanendra Narayan Nag
Keyword(s):  
Global Financial Crisis ◽  
Stock Exchange ◽  
Debt Crisis ◽  
Portfolio Allocation ◽  
Volatility Spillover ◽  
Hedging Strategy ◽  
Volatility Transmission ◽  
Volatility Spillovers ◽  
Daily Data ◽  
Indian Stock Market

The basic thrust of this article is to examine how shocks and volatility are transmitted across sector indices. This article employs the autoregressive asymmetric BEKK-GARCH model. The study is based on daily data from the National Stock Exchange (NSE) of India from January 2004 to January 2014. Volatility spillover was found to be bidirectional among the two pro-cyclical sectors: Finance and IT. But, there was a unidirectional shock and volatility spillover from the non-cyclical FMCG sector to both the pro-cyclical sectors. The FMCG sector has remained almost unaffected by the spillover from the other sectors. Moreover, the evidence of asymmetric spillover has been found to be present in most of the case. Second, correlations between the sectors were found to be higher during the period of global financial crisis. But no such evidence was found in the context of the Euro zone debt crisis. Understanding the dynamics of shocks and volatility transmission is necessary for risk management in general and for optimal portfolio allocation and hedging strategy in particular. To the best of our knowledge, this is the first study on Indian stock market which has analysed the dynamics of shock and volatility transmission across sector indices.

How Does COVID-19 Affect the Volatility Spillover Between the Exchange Rate and the Export-oriented Businesses in Iran?

2022 ◽  
pp. 097215092110606
Author(s):  
Zahra Honarmandi ◽  
Samira Zarei
Keyword(s):  
Exchange Rate ◽  
Stock Exchange ◽  
Spillover Effects ◽  
Garch Models ◽  
Volatility Spillover ◽  
Exogenous Shocks ◽  
Risk Period ◽  
Before And After ◽  
The Exchange Rate ◽  
Fractal Market Hypothesis

This study concentrates on examining the volatility spillover effects between the exchange rate (IRR to USD) and the leading export-oriented industries (i.e., petrochemical, basic metals and minerals) in Tehran Stock Exchange before and after the COVID-19 pandemic. Using DCC- and asymmetric DCC-GARCH approaches, the data sample (from 15 December 2018 to 24 April 2021) has been partitioned into two sub-samples: before and after the official announcement of COVID-19 outbreak. The results demonstrate that from the pre- to post-COVID-19 periods, first, the average returns of all industries have sharply fallen; second, the volatility of all variables has been significantly augmented in different horizons; third, for all industries, not only has the fractal market hypothesis approved in both separated periods, but also analysing the values of the fractional difference parameter, together with the outcomes of GARCH models, supports in the higher-risk post-COVID-19 period, wherein the effects of exogenous shocks last longer than their impacts in the alternative lower-risk period. Furthermore, our investigations demonstrate that the asymmetric spillover (based on the ADCC-GARCH models) in both pre- and post-COVID-19 periods are confirmed in all three industries, except for minerals after the novel coronavirus.Ultimately, the results not only corroborate the increase in the volatility spillover effects right after the COVID-19 but also substantiate that the exchange rate contributes most of the spillover effects into the petrochemical and minerals industries, which have been almost twice as much as those of the basic metals.

Return and volatility spillover effects between the Turkey and the Russia stock market

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Melih Kutlu ◽  
Aykut Karakaya
Keyword(s):  
Stock Exchange ◽  
Spillover Effects ◽  
Stock Exchanges ◽  
Volatility Spillover ◽  
Full Sample ◽  
Content Type ◽  
Crisis Period ◽  
Volatility Spillovers ◽  
Volatility Analysis ◽  
Economic Developments

PurposeThis study aimed to investigate return and volatility spillover between the Borsa Istanbul (BIST) and the Moscow Stock Exchange (RTS).Design/methodology/approachThis study used generalized autoregressive conditionally heteroscedasticity (GARCH) model for volatility and the Aggregate Shock (AS) model for return and volatility spillover. The data are divided into six sub-periods. Period events take place between Turkey and Russia.FindingsBIST investors considered the return and volatility of the RTS, it is observed that Moscow Stock Exchange investors considered only the return of BIST at the full sample. It is only a return spillover from BIST to RTS and neither the return nor the volatility of the RTS is spillover to BIST in the pre-crisis period. No evidence of return and volatility spillover between the BIST and the RTS in the post-crisis period. The returns and volatility spillovers between Russia and Turkey are mutual feedback in the jet crisis period.Practical implicationsEconomic developments between Turkey and Russia is growing rapidly in recent years. The return and volatility analysis between the stock exchanges of these two countries is important for investment decisions.Originality/valueThere are many studies in the literature about emerging markets. There are also Turkish and Russian stock exchanges in these studies. However, this study only examined return and volatility spillover analysis between the Turkish and Russian stock exchanges and prevents the results from being overlooked among other countries.

scholarly journals Watch Your Neighbor: A Volatility Spillover in ASEAN-5 Stock Exchange

2019 ◽  
Vol 10 (1) ◽  
pp. 59-65
Author(s):  
Sumani Sumani ◽  
Siti Saadah
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Stock Return ◽  
Stock Exchange ◽  
Selection Process ◽  
Asset Price ◽  
Price Volatility ◽  
The Philippines ◽  
Volatility Spillover ◽  
Asean Countries

In the process of financial markets integration, this research was conducted to investigate the phenomenon of the transmission of stock return volatility among stock market in five ASEAN countries. Those were Indonesia, Singapore, Malaysia, Philippines, and Thailand. The research was important because when the interdependence of financial markets had increased, changes in asset prices in the market were not only influenced by the shock in the market but also by its response to asset price volatility that occurred in other countries. Information about the volatility spillover between markets was important for investors to the portfolio selection process. Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) method was used on a daily time series stock return data obtained by accessing www.bloomberg.com. The result indicates that the shock in Singapore, Malaysia, Thailand, and the Philippines stock market will be transmitted to the Indonesia Stock Market with an asymmetric pattern. It has increased intensity after the implementation of the ASEAN Economic Community in December 2015.

scholarly journals Volatility Linkages between Equity Markets of Pakistan, India, Singapore and Hong Kong: A GARCH BEKK Approach

2012 ◽  
Vol 4 (1) ◽  
pp. 47-54
Author(s):  
Muhammad Junaid Iqbal ◽  
Afsheen Abrar . ◽  
Nagina Jamil . ◽  
Abid Ali Shah . ◽  
AhsanulHaqSatti .
Keyword(s):  
Hong Kong ◽  
Stock Exchange ◽  
Equity Markets ◽  
Multivariate Garch ◽  
Volatility Spillover ◽  
Investment Portfolio ◽  
Conditional Mean ◽  
Time Index ◽  
Strait Time ◽  
Volatility Linkages

The purpose of current study is to explore the volatility linkages between four Asian equity markets, which arePakistan (Karachi Stock Exchange), India (Bombay Stock Exchange), Hong Kong (Hang Sang Index) and Singapore (Strait Time Index). We estimate Multivariate GARCH BEKK model using weekly returns from January 2000 to August 2011.Direct evidences of linkages are found among all markets with respect to conditional mean returns and volatility.Own volatility spillover is found greater than cross volatility spillover in all emerging and developed economies.The insinuation of this study is that overseas investors may take advantage from the decrease of uncertainty by accumulating the stocks in the emerging markets to their investment portfolio.

Assessment of return and volatility spillover across sectors indices: evidence from Pakistan stock exchange

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Faiza Liaqat ◽  
Muhammad Naeem ◽  
Hafiza Muntaha Khalid ◽  
Sadia Farooq
Keyword(s):  
Stock Exchange ◽  
Volatility Spillover
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