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Articles 1 - 11 of 11
Full-Text Articles in Business
Legal Risk And Insider Trading, Marcin Kacperczyk, Emiliano Sebastian Pagnotta
Legal Risk And Insider Trading, Marcin Kacperczyk, Emiliano Sebastian Pagnotta
Research Collection Lee Kong Chian School Of Business
Do illegal insiders internalize legal risk? We address this question with hand-collected data from 530 SEC (the U.S. Securities and Exchange Commission) investigations. Using two plausibly exogenous shocks to expected penalties, we show that insiders trade less aggressively and earlier and concentrate on tips of greater value when facing a higher risk. The results match the predictions of a model where an insider internalizes the impact of trades on prices and the likelihood of prosecution and anticipates penalties in proportion to trade profits. Our findings lend support to the effectiveness of U.S. regulations' deterrence and the long-standing hypothesis that insider …
Speed Acquisition, Shiyang Huang, Bart Zhou Yueshen
Speed Acquisition, Shiyang Huang, Bart Zhou Yueshen
Research Collection Lee Kong Chian School Of Business
Speed is a salient feature of modern financial markets. This paper studies investors' speed acquisition together with their information acquisition. Speed heterogeneity arises in equilibrium, fragmenting the information aggregation process with a nonmonotone impact on price informativeness. Various competition effects drive speed and information to be either substitutes or complements. The model cautions the possible dysfunction of price discovery: An improving information technology might complement speed acquisition, which shifts the concentration of price discovery over time, possibly hurting price informativeness. Novel predictions are discussed regarding investor composition and their investment performance.
A Monte-Carlo Analysis Of Monetary Impact Of Mega Data Breaches, Mustafa Canan, Omer Ilker Poyraz, Anthony Akil
A Monte-Carlo Analysis Of Monetary Impact Of Mega Data Breaches, Mustafa Canan, Omer Ilker Poyraz, Anthony Akil
Engineering Management & Systems Engineering Faculty Publications
The monetary impact of mega data breaches has been a significant concern for enterprises. The study of data breach risk assessment is a necessity for organizations to have effective cybersecurity risk management. Due to the lack of available data, it is not easy to obtain a comprehensive understanding of the interactions among factors that affect the cost of mega data breaches. The Monte Carlo analysis results were used to explicate the interactions among independent variables and emerging patterns in the variation of the total data breach cost. The findings of this study are as follows: The total data breach cost …
Center Of Volume Mass: Does Options Trading Predict Stock Returns?, Gennaro Bernile, Fei Gao, Jianfeng Hu
Center Of Volume Mass: Does Options Trading Predict Stock Returns?, Gennaro Bernile, Fei Gao, Jianfeng Hu
Research Collection Lee Kong Chian School Of Business
We examine whether the distribution of trades along the set of strike prices of option contracts on the same stock contains information about underlying price discovery. We show that option traders' demand for delta exposure drives the volume-weighted average strike-spot price ratio (VWKS). In turn, we find that VWKS predicts underlying returns and anticipates the flow of fundamental information about the stock. The return predictability is greater but not limited to stocks with higher information asymmetries and arbitrage costs, and becomes stronger ahead of value relevant news. Overall, options trading appears to play an important informational role for underlying markets.
Information Content Of Revised Earnings Forecasts, Market Learning, And Analyst Behavior, Lifei Xue
Information Content Of Revised Earnings Forecasts, Market Learning, And Analyst Behavior, Lifei Xue
Open Access Theses & Dissertations
In my first essay, I examine how the quality of private information and the quality of public information contained in analyst revised one-year-ahead earnings forecasts issued right after a quarterly earnings announcement affect the post-earnings announcement drift (PEAD). I find that high precision of private information contained in revised forecasts reduces the level of PEAD and that the precision of public information contained in the revised one-year-ahead earnings forecasts partially offset the reduction in PEAD. Moreover, I find the effect of precision of private information on PEAD decreases after Reg FD, which required in the year 2000 that analysts could …
Essay On Asset Pricing, Fei Gao
Essay On Asset Pricing, Fei Gao
Dissertations and Theses Collection (Open Access)
We uncover a novel stock return predictor from the options market, the volume-weighted strike-spot price ratio (VWKS) across all traded option contracts. High (low) VWKS indicates that the mass of options volume on an underlying stock centers at the out-of-the-money region of call (put) options. Empirically, VWKS has positive and robust predictive ability for underlying returns after controlling for a long list of variables including known return predictors from the options market, stock illiquidity, and past stock returns, and has more persistent and stronger predictive power for stocks with higher information asymmetry and arbitrage costs. We also find that VWKS …
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Research Collection Lee Kong Chian School Of Business
In finance and accounting, relative to quantitative methods traditionally used, textual analysis becomes popular recently despite of its substantially less precise manner. In an overview of the literature, we describe various methods used in textual analysis, especially machine learning. By comparing their classification performance, we find that neural network outperforms many other machine learning techniques in classifying news category. Moreover, we highlight that there are many challenges left for future development of textual analysis, such as identifying multiple objects within one single document.
The Short-Term Dynamics Of Information Risk, Thomas Henker, Shah A. H. Shah-Idil, Jianxin Wang
The Short-Term Dynamics Of Information Risk, Thomas Henker, Shah A. H. Shah-Idil, Jianxin Wang
Thomas Henker
We introduce an informational approach (IA) for exploring association between variables, an alternative to the prevalent parametric, thus restrictive, regression analysis. The IA uses data to (non-parametrically) construct the joint distribution of variables. Then, it uses theory to develop restrictions on the joint distributions. These restrictions will typically be orderings of functions of conditional distributions induced by the joint distribution. Finally, it attempts refuting the restrictions. We implement IA examining the relation between trading sizes and spreads, a main concern. Following insights and results of Milgrom (1981), Feldman (2004), and Feldman and Winer (2004), we use NYSE data and kernel …
An Autoregressive Conditional Filtering Process To Remove Intraday Seasonal Volatility And Its Application To Testing The Noisy Rational Expectations Model, Jang Hyung Cho
FIU Electronic Theses and Dissertations
We develop a new autoregressive conditional process to capture both the changes and the persistency of the intraday seasonal (U-shape) pattern of volatility in essay 1. Unlike other procedures, this approach allows for the intraday volatility pattern to change over time without the filtering process injecting a spurious pattern of noise into the filtered series. We show that prior deterministic filtering procedures are special cases of the autoregressive conditional filtering process presented here. Lagrange multiplier tests prove that the stochastic seasonal variance component is statistically significant. Specification tests using the correlogram and cross-spectral analyses prove the reliability of the autoregressive …
Security Design That Addresses Agency Conflicts And Information Asymmetry, Manish Tewari
Security Design That Addresses Agency Conflicts And Information Asymmetry, Manish Tewari
Electronic Theses and Dissertations
This study focuses on the role of structured derivative securities to meet diverse corporate financing objectives in the light of agency theory and asymmetric information. The focus is on the nonconvertible callable-puttable fixed-coupon bonds. The primary objective is to discern the marginal role of the put and put-deferred features in addressing the agency issues and asymmetric information. A sample of (159) securities issued over the period (1977-2005) are examined using Merton's (1974) structural contingent claims valuation model. The put option as well as the deferred put option incorporated in these securities is found to mitigate the asset substitution issue. It …
The Interrelations Between Investor Beliefs, Information And Market Liquidity, Stephanie Yates Rauterkus
The Interrelations Between Investor Beliefs, Information And Market Liquidity, Stephanie Yates Rauterkus
LSU Doctoral Dissertations
I use two datasets to test the relation between trading volume, the heterogeneity of beliefs and the heterogeneity of belief revisions. The first dataset allows me to construct two groups that proxy for ‘holders’ and ‘non-holders’ of a traded asset. This construct allows me to test the relation between changes in trading volume and changes in the dispersion of beliefs both within and across these two groups. I examine changes in within- and across-group dispersion separately and simultaneously. The second dataset allows me to examine belief revisions more closely by analyzing only those prior and posterior beliefs surrounding an information …