This article uses trading data in the options market for shares in The Bear Sterns Companies (BSC) during the first half of 2007 during early stages of the US sub-prime crisis as a laboratory to examine the incidence of insider trading. The principle research objective is to enhance our understanding of the extent of strong form inefficiency in equity derivative markets. The presence of illegal insiders is particularly important to predictive markets as they raise transaction costs and deter participation by outsiders, which reduce the accuracy of price signals and markets’ forecasting ability. We take the perspective of a regulator making use of hindsight to identify the most propitious periods for insider trades and to identify market act...
Does legal insider trading contribute to market efficiency? Using the refinement proposed by the rec...
Background: Studying insider trading is difficult due to its sensitive and delicate nature. Therefor...
Insider trading has been used in stock market forecasting for several decades. This study introduced...
This article uses trading data in the options market for shares in The Bear Sterns Companies (BSC) d...
Purpose - Using data for actual insider trading cases prosecuted by the Securities and Exchange Comm...
This thesis studies the possibility of using information on insiders’ transactions to forecast futur...
Shorting the Bear: A test of anecdotal evidence of insider trading in early stages of the sub-prime ...
Several recent high-profile insider trading losses have not stopped the federal government from aggr...
Informed trading exists in most markets, but might be more tempting in some markets than in others. ...
This dissertation investigates the abnormal returns of illegal insider trading transactions filed by...
Insider trading is the most common form of securities fraud. Today it remains as confrontational as ...
article published in law journalThe prohibition against insider trading is becoming increasingly ana...
Abstract—How do company insiders trade? Do their trading behaviors differ based on their roles (e.g....
trading behaviors differ based on their roles (e.g., chief executive officer vs. chief financial off...
Does legal insider trading contribute to market efficiency? Using the refinement proposed by the rec...
Does legal insider trading contribute to market efficiency? Using the refinement proposed by the rec...
Background: Studying insider trading is difficult due to its sensitive and delicate nature. Therefor...
Insider trading has been used in stock market forecasting for several decades. This study introduced...
This article uses trading data in the options market for shares in The Bear Sterns Companies (BSC) d...
Purpose - Using data for actual insider trading cases prosecuted by the Securities and Exchange Comm...
This thesis studies the possibility of using information on insiders’ transactions to forecast futur...
Shorting the Bear: A test of anecdotal evidence of insider trading in early stages of the sub-prime ...
Several recent high-profile insider trading losses have not stopped the federal government from aggr...
Informed trading exists in most markets, but might be more tempting in some markets than in others. ...
This dissertation investigates the abnormal returns of illegal insider trading transactions filed by...
Insider trading is the most common form of securities fraud. Today it remains as confrontational as ...
article published in law journalThe prohibition against insider trading is becoming increasingly ana...
Abstract—How do company insiders trade? Do their trading behaviors differ based on their roles (e.g....
trading behaviors differ based on their roles (e.g., chief executive officer vs. chief financial off...
Does legal insider trading contribute to market efficiency? Using the refinement proposed by the rec...
Does legal insider trading contribute to market efficiency? Using the refinement proposed by the rec...
Background: Studying insider trading is difficult due to its sensitive and delicate nature. Therefor...
Insider trading has been used in stock market forecasting for several decades. This study introduced...