scholarly journals Evidence of price discovery on the Indonesian stock exchange

2019 ◽  
Vol 83 ◽  
pp. 2-7 ◽  
Author(s):  
Susan Sunila Sharma ◽  
Kannan Thuraisamy ◽  
Muhammad Madyan ◽  
Nisful Laila
Keyword(s):  
Price Discovery ◽  
Stock Exchange

Low-Latency Trading and Price Discovery Without Trading: Evidence from The Tokyo Stock Exchange Pre-Opening Period

2015 ◽  
Author(s):  
Mario Bellia ◽  
Loriana Pelizzon ◽  
Marti G. Subrahmanyam ◽  
Jun Uno ◽  
Darya Yuferova
Keyword(s):  
Price Discovery ◽  
Stock Exchange ◽  
Low Latency ◽  
Tokyo Stock Exchange

Does tick size influence price discovery? Evidence from the Toronto Stock Exchange

2002 ◽  
Vol 23 (1) ◽  
pp. 49-66 ◽  
Author(s):  
Marie-Claude Beaulieu ◽  
Shafiq K. Ebrahim ◽  
Ieuan G. Morgan
Keyword(s):  
Price Discovery ◽  
Stock Exchange ◽  
Tick Size ◽  
Toronto Stock Exchange

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.

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.

Crossing the Tasman

2014 ◽  
Vol 26 (3) ◽  
pp. 177-195
Author(s):  
Bart Frijns ◽  
Aaron Gilbert ◽  
Alireza Tourani-Rad
Keyword(s):  
New Zealand ◽  
Price Discovery ◽  
Stock Exchange ◽  
Negative Relationship ◽  
Relative Volume ◽  
Early Years ◽  
Content Type ◽  
Cross Listing ◽  
Panel Regressions ◽  
Information Shares

Purpose – The purpose of this paper is to investigate price discovery for cross-listed stocks on the New Zealand Exchange (NZX) and the Australian Stock Exchange (ASX) and find out the determinants of price discovery between the two markets. Design/methodology/approach – Gonzalo Granger Component Shares and Hasbrouck Information Shares were estimated annually for a sample of 19 cross-listed stocks between 1998 and 2012. Then dynamic panel regressions were used to investigate the driving factors behind price discovery between the NZX and ASX. Findings – Strong downward trends were observed in the contribution to price discovery of the NZX, both for New Zealand firms cross-listing on the ASX and Australian firms cross-listing on the NZX. While in the early years in our sample period, price discovery is dominated by the home market, by 2012, 50 per cent of price discovery for New Zealand firms takes place on the ASX, and the NZX acts as a satellite market for Australian firms. It was also observed that the NZX share of trading activity has a strong positive effect on the NZX level of price discovery, while there is a negative relationship with relative bid–ask spreads. Practical implications – Results suggest that the importance of the NZX relative to the ASX with regards to price discovery is decreasing over time. Given the importance of price discovery for exchanges, such a finding is concerning for the NZX. The determinants of price discovery found in the paper, such as relative volume and spreads, do, however, offer some guidance on how the NZX could regain price discovery. Originality/value – This paper offers a longer and broader analysis of price discovery between the NZX and ASX, two highly integrated markets, and extends previous work by exploring the drivers of price discovery in a panel setting.

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