scholarly journals Detecting Informed Trading Activities in the Options Markets: Appendix on Subprime Financial Crisis

2012 ◽  
Author(s):  
Marc Chesney ◽  
Remo Crameri ◽  
Loriano Mancini

Author(s):  
Marc Chesney ◽  
Remo Crameri ◽  
Loriano Mancini


2010 ◽  
Vol 31 (8) ◽  
pp. 703-726 ◽  
Author(s):  
Spyros Spyrou ◽  
Andrianos Tsekrekos ◽  
Georgia Siougle


2017 ◽  
Vol 9 (9) ◽  
pp. 123 ◽  
Author(s):  
Yen-Hsien Lee ◽  
Wen-Chien Liu ◽  
Chia-Lin Hsieh

This paper examines the impact of informed trading on futures returns during the 2008-2009 financial crisis. To precisely capture the informed trading in the highly volatile market during this period, we adopt the Volume-Synchronized Probability of Informed Trading (VPIN) of Easley, Hvidkjaer and O’Hara (2012) as our main measurement for informed trading. Besides, we also use a unique transaction dataset with investor identity to classify investors into domestic and foreign institutional investors, which the foreign institutional investors are supposed to be characterized by a higher degree of informed trading. Our empirical results show that the VPIN of foreign institutional investors has indeed significantly positive impacts on futures returns at the individual level. By contrast, the effect of the VPIN of domestic institutional investors on futures returns is only significant on Wednesdays, which could be seen as a special kind of day-of-the-week effect.



2021 ◽  
Vol 28 (3) ◽  
pp. 96-100
Author(s):  
Badri Narayan Mohapatra ◽  
◽  
Bhagwat Nagargoje ◽  
Prajwal Zurunge ◽  
Suraj More ◽  
...  

This study investigates the selection of stock from huge stock markets and by using good selection tools so that it will give a good return value. It helps investor to find an easy decision regarding their investment in stock market individually with effective collection of trading activities. Many artificial intelligence (AI) techniques are untested in the financial crisis scenario. This research really helpful to the investor in the stock selection and stock purchase decision. AI is also a one of the hottest topic for most industries, researchers and investors. The financial market is easy to analyze with multiple charts, due to the application of artificial intelligence.







2016 ◽  
Vol 51 (3) ◽  
pp. 801-837 ◽  
Author(s):  
Jie Cai ◽  
Ralph A. Walkling ◽  
Ke Yang

AbstractRecent studies suggest the transfer of privileged information via social ties but do not explicitly examine the cost of these ties to shareholders. We document a significant positive relation between stock transaction costs and a company’s social ties to the investment community. Social ties based on education and leisure activities, stronger ties, and ties to individuals responsible for trading have greater effects. Using investment connection deaths as natural experiments, we document that exogenous severance of ties reduces trading costs and trading activities by connected parties. Our evidence illustrates an important and previously undocumented consequence of social ties.



2017 ◽  
Vol 42 ◽  
pp. 40-65 ◽  
Author(s):  
Wei-Xuan Li ◽  
Joseph J. French ◽  
Clara Chia-Sheng Chen


2011 ◽  
Vol 8 (3) ◽  
pp. 9-17
Author(s):  
William Ming Yan Cheung ◽  
Adrian Lei ◽  
Libin Tao

We study the relation between corporate governance, market liquidity and stock price informativeness. Firms with more informative stock prices are associated with larger transaction volume, larger bid-ask spread and better corporate governance. Thisliquidity-informativeness relation is significant for firms with high antitakeover provision (bad corporate governance). However, bid-ask spread is insignificantly associated withprice informativeness for firms with less antitakeover provision (good corporate governance). This supports that firm-specific return variation better measures stock price informativeness when firm has strong corporate governance framework. Our results suggest that (i) more (less) informed trading activities associated with weak (strong) corporate governance, and (ii) corporate governance explains the cross-sectional variation in information efficiency of stock prices. Our results are consistent with theories in financial market learning that investor learn from informed trading activities associated with weak governance firms and informative disclosure from strong governance firms.



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