The Cross-Border Price Discovery and the Shanghai-Hong Kong Stock Connect

2021 ◽  
pp. 13-28
Author(s):  
Chun-I Lin ◽  
Kuan-Yi Chiang ◽  
Ming-Chih Lee ◽  
Yen-Hsien Lee
Keyword(s):  
Hong Kong ◽  
Futures Markets ◽  
Price Discovery ◽  
Jel Classification ◽  
Discovery Process ◽  
Speed Of Adjustment ◽  
Cross Border ◽  
The Cross ◽  
Price Discovery Process

This study mainly investigates the price discovery relationship between stock and futures markets and the cross-border price discovery relationship between Chinese and Hong Kong markets after the launch Shanghai-Hong Kong Stock Connect Progress. We find that this progress increases the speed of adjustment from the long-term equilibrium in the Chinese spot and futures markets. Moreover, the price discovery process mainly happens in Hong Kong’s spot and futures markets. Final, cross-border price discovery is from Hong Kong to China after this progress. JEL classification numbers: G15, G18 Keywords: Price Discovery, Shanghai-Hong Kong Stock Connect

Price Discovery Process and Volatility Spillover in Spot and Futures Markets: Evidences of Individual Stocks

2010 ◽  
Vol 35 (2) ◽  
pp. 49-62 ◽  
Author(s):  
T Mallikarjunappa ◽  
E M Afsal
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Spillover Effect ◽  
Spot Market ◽  
Futures Market ◽  
Discovery Process ◽  
Short Term ◽  
Asymmetric Volatility ◽  
Spot Volatility ◽  
Price Discovery Process

This paper analyses information-based superiority of markets mainly with an objective of exploring arbitrage opportunities. It attempts to determine the lead-lag relationship between spot and futures markets in the Indian context by using high frequency price data of twelve individual stocks, observed at one-minute interval. The study applies the concept of co-integration and establishes the spot-futures relationship using Vector Error Correction Mechanism (VECM) represented by EGARCH framework. To study the price discovery process in the two markets, five lags each of one-minute resolution for nine individual stocks and four lags for the remaining three stocks are chosen. The key results of the study are given below: There is a contemporaneous and bi-directional lead-lag relationship between the spot and futures markets. A feedback mechanism of short life is functional between the two markets. Price discovery occurs in both the markets simultaneously. There exists short-term disequilibrium that could be corrected in the next period. Volatility spillover from spot market to futures market is present in such a way that a decrease in spot volatility leads to a decrease in futures volatility. Volatility shocks are asymmetric and persistent in both the markets. Spillover from futures market to spot market is not significant. Neither spot nor futures assume a considerable leading role and neither of the markets is supreme in price discovery. In the case of 33.33 per cent of spot values and 33.33 per cent of futures values, there exists short-term disequilibrium that could be corrected in the next period by decreasing the prices. Spot market volatility spills over to futures market in most of the cases (66.66 %) and a decrease in spot volatility brings about a decrease in futures volatility in 50 per cent of the cases. Spillover effect from futures to spot market is present and significant in 91.66 per cent of stocks and is more than the spillover effect from spot to futures (50% valid cases). The markets are highly integrated. Asymmetric behaviour of volatility shocks is mixed in both the markets. Asymmetric volatility is detected in 50 per cent of the cases of spot market and 58.33 per cent cases of futures market. Stocks exhibiting asymmetric volatility show more sensitivity to negative shocks. There are no cases of market becoming more volatile in response to good news.

A Study on the Price Discovery in Korea Stock Index Markets: KODEX200, KOSPI200, and KOSPI200 Futures

2009 ◽  
Vol 17 (3) ◽  
pp. 67-97
Author(s):  
Seok-Kyu Kang
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Multivariate Garch ◽  
Stock Index ◽  
Reverse Direction ◽  
Discovery Process ◽  
Vector Error Correction ◽  
Price Series ◽  
Auto Regressive ◽  
Price Discovery Process

This paper examines the price discovery process among the Korea stock index markets using the vector error correction model (VECM) and the multivariate generalized auto regressive conditional heteroskedasticity (M-GARCH) model. The minute-by-minute price series of the KOSPI200 index, KOSPI200 futures, and KODEX200 are cointegrated. The empirical results are summarized as follows: First, VECM estimation results indicate that when the cointegrating relationship is perturbed by the arrival of ntis, the KODEX200(ETF) does not adjusted to restore equilibrium. This is the task of the KOSPI200 futures and spot. These two index securities use the KODEX200 to represent the ntioequilibrium price, with the KOSPI200 futures responding faster than the KOSPI200 spot. When the cointegrating relationship betweeiesOSPI200 spot and futues is perturbed by the arrival of ntis, the KOSPI200 spot does adjusted to restore equilibrium. Next, the results from the multivariate GARCH modes indicate that the volatilities of esOSPI200 spot and futures markets suggest unidirectiona1volatility spillover from KOSPI200 futures to KOSPI200 spot. KODEX200(ETF) volatilities spill over bothesOSPI200 spot and futures markets. and this happen in the reverse direction with a strong effect from the KODEX200 to KOSP200 futures and spot. The overall findings indicate that the KODEX200(ETF) market dominates KOSPI200 futures and spot in the price discovery process. The regulation of Instutional traders on trading on futures markets explains its superior price discovery function.

The Price Discovery Processes in China, India, and Russia’s Stock Index Futures Markets

2021 ◽  
pp. 2150020
Author(s):  
Qingfeng Wilson Liu ◽  
Hui Sono ◽  
Wei Zhang
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Stock Index ◽  
Stock Index Futures ◽  
Discovery Process ◽  
Index Futures ◽  
China And India ◽  
Brics Countries ◽  
Regulatory Changes ◽  
Price Discovery Process

In this paper, we examine the price discovery patterns in the three BRICS countries’ stock index futures markets which were launched after 2000 – China, India, and Russia. We find the futures market dominates the price discovery process in China and India, but less so in Russia. A closer examination reveals the dynamic nature of the price discovery process, and the significant impacts on futures’ price discovery functions from China’s regulatory changes in September 2015 and Russia’s economic sanctions in March 2014. The results also show a more balanced and bidirectional volatility spillover between futures and spots in China and India than in Russia.

scholarly journals Price Discovery in Agricultural Markets

2020 ◽  
Vol 23 (1) ◽  
pp. 53-69
Author(s):  
Keshab Shrestha ◽  
Ravichandran Subramaniam ◽  
Thangarajah Thiyagarajan
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Business Leaders ◽  
Agricultural Markets ◽  
Discovery Process ◽  
Agricultural Commodities ◽  
Information Share ◽  
Generalized Information ◽  
Price Discovery Process

In this study, we empirically analyze the contribution of futures markets to the price discovery process for seven agricultural commodities using the generalized information share proposed by Lien and Shrestha (2014) and component share based on the permanent-temporary decomposition proposed by Gonzalo and Granger (1995). We find that most of the price discovery takes place in the futures markets with the exception of cocoa. Our results show that futures markets play an important role in price discovery process. These results are important to academicians, practitioners, policymakers as well as business leaders.

scholarly journals The Price Discovery Mechanism between Sovereign Bond and Sovereign CDS Market: Studies in Selected Countries

2017 ◽  
Vol 9 (2) ◽  
pp. 270 ◽  
Author(s):  
Ngan Bich Nguyen
Keyword(s):  
Price Discovery ◽  
Empirical Test ◽  
Bond Market ◽  
Discovery Process ◽  
Sovereign Bond ◽  
Leading Role ◽  
Long Run ◽  
Pricing Process ◽  
Short Run ◽  
Price Discovery Process

This paper employs the multivariate VAR model to examine the mechanic work of price discovery process between sovereign CDS market and the associated sovereign bond market in contexts of five European and Asian countries, including Vietnam, Korea, Portugal, Italy and France from the beginning of 2008 to the end of April, 2017. The study accentuates on three aspects: the short-term interaction nexus between the sovereign CDS and the associated-sovereign bond market, the long-term co-movement between them and the discovery of which market plays the leading role in the pricing process. The results evidence the short-run and long-run relationship for the two markets. Particularly, the empirical test results support for the predominant role of the sovereign CDS market in the price discovery process in the bulk of sample entities. This might suggests for the governments to use CDS prices as the future indicator for predicting the volatility of debt markets.

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