This study provides information about convertible preferreds generally and, in particular, those used in financing mergers during the period 1968-1984. Specifically, the following topics are examined: (1) traditional corporate motives for the use of convertible preferreds as a financing means in mergers and acquisitions, (2) annual data about convertible preferreds' issuance by volume and purpose for the period 1968-1984, (3) average annual returns of merger-related convertible preferreds and average annual returns of common stock of the same companies for the period 1968-1980, (4) performance of convertible preferreds in relation to the market in general, and (5) the future of convertible preferreds as a financing instrument in merger activity.

Few areas of research in the finance literature have received greater attention than the efficient market hypothesis. Much of the research has been directed toward the securities market while very little research has been done in the real estate markets. The existing research on real estate market efficiency has been either descriptive or illustrative with very little empirical testing being performed. The major reason for the lack of empirical testing has been the inability to develop an adequate data base. The results of the empirical work that has been done do not support the widely held belief that real estate markets are inefficient. This study, using the autoregressive-integrative-moving average (ARIMA) time series analysis technique, tests the weak-form efficiency of the Dallas-Fort Worth office properties real estate market. According to the weak-form efficient market hypothesis, all price information should be capitalized into current real estate prices and not provide the basis for earning abnormal returns in trading. Price data formed from office building sales dating from January, 1979 to January, 1985 are used to test the market. The data was gathered from the files of several professional appraisal firms located in the Dallas-Fort Worth area. The transaction information includes (1) transaction …

This dissertation examines the reaction of common stock prices to the announcement of changes in bond ratings by Moody's Bond Service, while having a control for differential information availability. The Institutional Brokers Estimate System (I/B/E/S) number of security analysts and coefficient of variation of earning per share (EPS) estimates are used as a proxy for information availability of the firms. Past studies differs in their conclusions as to whether the market has responded to announcement of bond rating changes. None of past studies have controlled for differential information availability. This study, using daily stock returns data and the event study methodology with the statistical test, finds that while the sample of rating downgrades exhibit significantly negative abnormal price effect during the announcement period, the magnitude of this effect is significantly higher for firms with low information availability. For the rating upgrades, the sample as a whole has no abnormal announcement period returns, but the sample of firms with lower information earns significantly positive abnormal returns. This study provides support for the hypothesis that the announcement effect of bond-rating changes is conditional on the information available about the firm.

The purpose of the study was to find the best prediction models of short-term bank CD ratings using financial variables. This study used short-term bank CD ratings assigned by Moody's and Standard and Poor's.

This dissertation consists of three essays: essay 1, Underwriting Use of Credit Information and Firm Performance ‐ An Empirical Study of Texas Property‐Liability Insurers, essay 2, Prediction of Ratings in Property‐Liability Industry when The Organizational Form Is Endogenous, and essay 3, A Discussion of Parsimonious Methods Predicting Insurance Companies Ratings. The purpose of the first essay is to investigate the influence of underwriting use of credit information on variation in insurers’ underwriting performance. Specifically, this study addresses the following two research questions: first, what firm‐level characteristics are associated with the insurers’ decision to use credit information in underwriting? second, is there a relationship between the use of credit information and variation in insurers’ underwriting performance? The empirical results indicate that larger insurance companies, companies having more business in personal auto insurance, and those with greater use of reinsurance are more likely to use credit information in underwriting. More importantly, the results indicate that use of credit information is associated with lower variation in underwriting performance, consistent with the hypothesis that use of credit information enables insurers to better predict their losses. The purpose of the second essay is to resolve the inconsistent relationship between the organizational forms (i.e., stock versus …