Finance and Financial Management Commons^™

Ceo Compensation After Harvester Director Departure, Victor Jarosiewicz

Finance Department Faculty Journal Articles

I examine the effects of board member departures on CEO compensation using a sample of high growth IPO firms. Agency theory predicts that a reduction in board monitoring by harvester directors (VCs and private equity investors) will result in an increase in CEO pay. I find that departures of the last harvester director on a board result in an immediate and lasting increase in CEO equity compensation, while prior departures by other harvester directors are not significant. The results hold even when controlling for other governance mechanisms such as CEO wealth, CEO turnover, board composition, and external blockholder ownership.

Testing Market Response To Auditor Change Filings: A Comparison Of Machine Learning Classifiers, Richard Holowczak, David Louton, Hakan Saraoglu

Finance Department Faculty Journal Articles

The use of textual information contained in company filings with the Securities Exchange Commission (SEC), including annual reports on Form 10-K, quarterly reports on Form 10-Q, and current reports on Form 8-K, has gained the increased attention of finance and accounting researchers. In this paper we use a set of machine learning methods to predict the market response to changes in a firm's auditor as reported in public filings. We vectorize the text of 8-K filings to test whether the resulting feature matrix can explain the sign of the market response to the filing. Specifically, using classification algorithms and a …

Cointegration And Causality In Capital Markets, A. Can Inci

Finance Department Faculty Journal Articles

Purpose

The purpose of this paper is to study the efficiency of different oil and gas markets. Most previous studies examined the issue using low frequency date sampled at monthly, weekly, or daily frequencies. In this study, 30-minute intraday data are used to explore efficiency in energy markets.

Design/methodology/approach

Sophisticated statistical analysis techniques such as Granger-causality regressions, augmented Dickey-Fuller tests, cointegration tests, vector autoregressions are used to explore the transmission of information between oil and gas energy markets.

Findings

This study provides evidence for efficiency in energy markets. The new information that arrives either to futures markets or spot markets …