The Character and Determinants of Corporate Capital Gains

This paper analyzes how corporate capital gains taxes affect the capital gain realization decisions of firms. The paper outlines the tax treatment of corporate capital gains, the consequent incentives for firms with gains and losses, the efficiency consequences of these taxes in the context of other taxes and capital market distortions, and the response of firms to these incentives. Despite receiving limited attention, corporate capital gain realizations have averaged 30 percent of individual capital gain realizations over the last fifty years and have increased dramatically in importance over the last decade. By 1999, the ratio of net long-term capital gains to income subject to tax was 21 percent and was distributed across a variety of industries suggesting the importance of realization behavior to corporate financing decisions. Time-series analysis of aggregate realization behavior demonstrates that corporate capital gains taxes impact realization behavior significantly. Similarly, an analysis of firm-level investment and property, plant, and equipment (PPE) disposal decisions and gain recognition behavior similarly suggests an important role for these taxes in determining when firms raise money by disposing of assets and realizing gains.Capital gains; capital gains taxation; corporate taxation;

The Character and Determinants of Corporate Capital Gains

This paper analyzes how corporate capital gains taxes affect the capital gain realization decisions of firms. The paper outlines the tax treatment of corporate capital gains, the consequent incentives for firms with gains and losses, the efficiency consequences of these taxes in the context of other taxes and capital market distortions, and the response of firms to these incentives. Despite receiving limited attention, corporate capital gain realizations have averaged 30 percent of individual capital gain realizations over the last fifty years and have increased dramatically in importance over the last decade. By 1999, the ratio of net long-term capital gains to income subject to tax was 21 percent and was distributed across a variety of industries suggesting the importance of realization behavior to corporate financing decisions. Time-series analysis of aggregate realization behavior demonstrates that corporate capital gains taxes impact realization behavior significantly. Similarly, an analysis of firm-level investment and property, plant, and equipment (PPE) disposal decisions and gain recognition behavior similarly suggests an important role for these taxes in determining when firms raise money by disposing of assets and realizing gains.

Enhanced news sentiment analysis using deep learning methods

We explore the predictive power of historical news sentiments based on financial market performance to forecast financial news sentiments. We define news sentiments based on stock price returns averaged over one minute right after a news article has been released. If the stock price exhibits positive (negative) return, we classify the news article released just prior to the observed stock return as positive (negative). We use Wikipedia and Gigaword five corpus articles from 2014 and we apply the global vectors for word representation method to this corpus to create word vectors to use as inputs into the deep learning TensorFlow network. We analyze high-frequency (intraday) Thompson Reuters News Archive as well as the high-frequency price tick history of the Dow Jones Industrial Average (DJIA 30) Index individual stocks for the period between 1/1/2003 and 12/30/2013. We apply a combination of deep learning methodologies of recurrent neural network with long short-term memory units to train the Thompson Reuters News Archive Data from 2003 to 2012, and we test the forecasting power of our method on 2013 News Archive data. We find that the forecasting accuracy of our methodology improves when we switch from random selection of positive and negative news to selecting the news with highest positive scores as positive news and news with highest negative scores as negative news to create our training data set.Published versio

Technology, Information Production, and Market Efficiency

A well functioning securities market relies on the availability of accurate information, a broad base of investors who can process this information, legal protection of these investors’ rights, and a liquid secondary market unencumbered by excessive transaction costs or constraints. When these conditions are satisfied, securities markets are likely to be broader and more efficient, with felicitous consequences for investment and resource allocation. This paper explores the effect of technological advances on these features of the market, emphasizing the incentives facing the producers of financial information.

Corporate Governance as a Tool for Curbing Bank Distress in Nigeria Deposit Money Bank: Empirical Evidence

The study objective is aimed at finding the relationship between corporate governance bank distress in deposit money banks. The research design adopted in this paper is the case study method, in other to have an intensive insight of the subject matter. Primary data was used specifically the survey technique.The method that was used in the presentation of data in this study is the Statistical Package for Social Sciences(SPSS) which contains all the necessary and important statistical technique for data analysis. For testing the hypothesis, correlation analysis which measures the degree of relationship between variables was used to analyze the result generated from the questionnaire. The evidence shows that corporate governance has no significant improvement on the prevention of bank distress but has significantly improved the performance of the Nigerian banking sector. We therefore recommend that banks should demonstrate strong internal policies to identify and manage conflict of interest and zero tolerance posture against cases of unsound corporate governance practices

Does Institutional Context Affect CSR Disclosure? A Study on Eurostoxx 50

We propose to investigate the relationship between corporate social responsibility disclosure and institutional/environmental factors among a sample of European listed companies. We find that, by using several traditional explicative variables, institutional factors affect the level of CSR disclosure, in a context where the EU Commission has been paying growing attention to social and environmental accountability of listed companies (see the EU Dir. 95/2014). Our findings are further supported by multivariate regression, where ESG score (measure of CSR disclosure) is regressed on nine variables which represent the expression of institutional factors. By looking at the institutional determinants of CSR disclosure, we are seeking to pose a challenge for future research agenda, in order to understand whether CSR does actually reflect an effective commitment of firms to accounting practices and rules, as a form of social behavior, or whether it is just a tool to manage stakeholders’ perception and to comply with regulation