scholarly journals PRICE DISCOVERY AND VOLATILITY TRANSMISSION IN AUSTRALIAN REIT CASH AND FUTURES MARKETS

2016 ◽  
Vol 20 (2) ◽  
pp. 113-129 ◽  
Author(s):  
Ming-Te LEE ◽  
Shew-Huei KUO ◽  
Ming-Long LEE ◽  
Chyi Lin LEE
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Futures Market ◽  
Real Estate Investment Trust ◽  
Real Estate Investment ◽  
Index Futures ◽  
Volatility Transmission ◽  
Volatility Spillovers ◽  
Cash Market ◽  
The Relationship

This study examines the price discovery function and volatility spillovers in australian real estate investment trust (A-REIT) index futures and also investigates the effects of the global fi- nancial crisis (gfc) on these two features. as opposed to the general understanding of the relationship between the cash and the futures markets, the current study finds that the A-REIT cash market led the a-reIt futures market in price discovery and volatility transmission processes before the gfc. However, during the GFC, the two markets interacted bilaterally in terms of information flow, i.e., in- formation flowed in both directions. Furthermore, after the GFC, the futures market followed the cash market again, but less closely. These findings have broad implications for investors in property assets.

Does Index Futures Dominate Index Spot? Evidence from Taiwan Market

2002 ◽  
Vol 05 (02) ◽  
pp. 255-275 ◽  
Author(s):  
Ching-Chung Lin ◽  
Shen-Yuan Chen ◽  
Dar-Yeh Hwang ◽  
Chien-Fu Lin
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Stock Exchange ◽  
Impulse Response Function ◽  
Spot Market ◽  
Stock Index ◽  
Index Futures ◽  
Volatility Spillovers ◽  
Egarch Model ◽  
Intraday Data

By utilizing vector error correction model (VECM) and EGARCH model, this article uses 5-minute intraday data to examine the interaction of return and volatility between Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) and the newly introduced TAIEX futures. VECM model shows that there exists bi-directional Granger causality between index spot and index futures markets, but spot market plays a more important role in price discovery. The results of impulse response function and information share indicate that most of the price discovery happens in index spot market. The evidence of EGRACH shows that the impacts of spot and futures innovations are asymmetrical, and the volatility spillovers between spot and futures markets are bi-directional. However, the information flow from spot to futures is stronger. These results suggest that the TAIEX spot market dominates the TAIEX futures market in terms of return and volatility.

Price Discoveries and Volatility Spillovers in S&P CNX Nifty Future and its Underlying Index CNX Nifty

2009 ◽  
Vol 34 (2) ◽  
pp. 41-56 ◽  
Author(s):  
Madhusudan Karmakar
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Spot Market ◽  
The Other ◽  
Future Market ◽  
Volatility Spillovers ◽  
Long Run ◽  
Cash Market ◽  
Cointegration Tests ◽  
First Moment

In a perfectly functioning world, every piece of information should be reflected simultaneously in the underlying spot market and its futures markets. However, in reality, information can be disseminated in one market first and then transmitted to other markets due to market imperfections. And, if one market reacts faster to information than the other, a lead-lag relation is observed The lead-lag relationship in returns and volatilities between spot and futures markets is of interest to academics, practitioners, and regulators. In India, there are very few studies which have investigated the lead-lag relationship in the first moment of the spot and futures markets This study investigates the lead-lag relationship in the first moment as well as the second moment between the S&P CNX Nifty and the Nifty future. It also investigates how much of the volatility in one market can be explained by volatility innovations in the other market and how fast these movements transfer between these markets. It conducts Multivariate Cointegration tests on the long-run relation between these two markets. It investigates the daily price discovery process by exploring the common stochastic trend between the S&P CNX Nifty and the Nifty future based on vector error correction model (VECM). It examines the volatility spillover mechanism with a bivariate BEKK model. Finally, this study captures the effects of recent policy changes in the Indian stock market. The results reveal the following: The VECM results show that the Nifty futures dominate the cash market in price discovery. The bivariate BEKK model shows that although the persistent volatility spills over from one market to another market bi-directionally, past innovations originating in future market have the unidirectional significant effect on the present volatility of the spot market. The findings of the study thus suggest that the Nifty future is more informationally efficient than the underlying spot market. These findings may provide insights on the information transaction and index arbitrage between the CNX Nifty and futures markets.

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.

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