price discovery
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2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjay Mansabdar ◽  
Hussain C. Yaganti ◽  
Sankarshan Basu

Purpose Embedded options can create asymmetries in information impounded by cash and futures markets, causing errors in price discovery estimation. This paper aims to investigate the impact of embedded location options on measures of price discovery. Design/methodology/approach Various price discovery metrics are computed using observed futures prices that contain embedded location options and cash prices for Chana. Prices of a futures contract that contains no options using observed futures prices and estimates of location option value are synthesized. The price discovery measures are recomputed using synthetic option-adjusted futures contract prices and cash prices, and changes in these measures are attributed to the impact of the embedded location option. Findings If the presence of the location option is ignored, futures appear to dominate price discovery. Once the location option is adjusted for, cash markets are found to dominate price discovery. Research limitations/implications The lack of complete time-series data from the exchange for multiple commodities allows only limited empirical evidence for generalizing conclusions. Practical implications This paper highlights that regulators, exchanges and policymakers in India need to revisit delivery specifications of agricultural commodity futures contracts to enhance their utility from a price discovery perspective. Originality/value This work shows that ignoring the presence of embedded options can cause significant errors in price discovery assessment of agricultural futures contracts, particularly in heterogenous cash markets.


2022 ◽  
Author(s):  
Yiping Lin ◽  
Peter Lawrence Swan ◽  
Frederick (Rick) H. deB. Harris

2021 ◽  
pp. 1-29
Author(s):  
Michele Anelli ◽  
Michele Patanè

Abstract The aim of this paper is to analyze the long-lasting dynamic relationship between the credit default swap (CDS) premia and the government bond spreads (GBS), with regard to the sovereign credit risk. The practical focus is to evaluate whether the CDS market effectively is the leading or the lagging market in the credit risk price discovery process during the last decade of monetary easing. The analysis extends to all “sensitive” countries in the Eurozone, the so-called “PIIGS” countries (excluded Greece) for the interval 2007-2017. JEL classification numbers: G01, G12, G14, G20. Keywords: CDS spread, Government bond spread, Sovereign credit risk, Cointegration, Vector error correction model, Granger-causality.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xueyan Yu ◽  
Yanbing Yu

Whether capital market opening improves the price discovery efficiency of stock market is an important issue. Shanghai-Hong Kong Stock Connect (hereafter, SHKSC) is a milestone event in the opening up of China’s capital market. Based on SHKSC, using the method of PSM + DID, we study the impact of capital market opening on the price discovery efficiency from two dimensions-stock price information content and price reaction speed to information. Our research shows that capital market opening did not increase stock price information content, but speed up the reaction of price to information. Therefore, capital market opening improves capital market’s price discovery efficiency in terms of response speed of stock price to information. Further analysis shows that capital market opening affects stock price reaction speed through improving market information environment and reducing insider trading, but it has not yet had a substantial impact on listed companies’ earnings quality, which is the main participant in the capital market, and therefore has failed to influence the stock price information content. In order to maximize the effectiveness of capital market opening, it is necessary to introduce more effective policies to improve the information disclosure quality of listed firms and reduce the level of insider trading.


2021 ◽  
pp. 102615
Author(s):  
Guan-Ying Huang ◽  
Yin-Feng Gau ◽  
Zhen-Xing Wu
Keyword(s):  

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