This study investigates the importance of reduced capital misallocation in explaining the gains in corporate spinoffs. The capital misallocation hypothesis asserts that the internal capital market of a diversified firm fails to meet the needs of the relatively low growth divisions for less investment and the needs of the relatively high growth divisions for more investment. Higher differences in growth opportunities imply that more capital is misallocated. This study finds that the higher the difference in growth opportunities of a diversified firm's businesses, the more likely the firm is to conduct a spinoff. This finding supports the argument that diversified firms conduct spinoffs to reduce capital misallocation. This study finds differences in managerial ownership of spinoff firms and of nonspinoff firms. This suggests that the misallocation of internal capital is an agency problem. A low management ownership stake, coupled with the existing differential in growth opportunities between parent and spunoff firms, leads to misallocation of internal capital, thus creating incentives for a spinoff. Spinoffs should result in a shift to the “right" investment policy and to better operating performance for both the parent and spunoff firms. This improvement in operating performance for the post-spinoff firms is expected to be higher …

In this study, the possibility that money demand of one country might be affected by macroeconomic activities of other countries is investigated. We use the seemingly unrelated regression (SUR) technique, which takes into account all covariances between residuals of country-specific money demand equations. Efficiency of estimates using the SUR technique is enhanced because it uses information contained in the contemporaneous correlation of the error terms. The hypothesis of economic interdependence is tested. A proxy for foreign influence, deviation from interest rate parity (DIRP), is tested for significance in the money demand function.

Catastrophe theory (CT) is a relatively new mathematical theory that comprehensively describes a system exhibiting discontinuous behavior when subjected to continuous stimuli. This study tests the theory using capital-market data. The data is a time series of stock returns on firms that filed for Chapter 11 reorganization during 1980-1985. The CT model used is based on a corporate failure model suggested by Francis, Hastings and Fabozzi (1983). The model predicts 1) as the filing date approaches, there will be a structural shift in the underlying stock-return generating process of the filing firm, and 2) firms with lower operating risk will have a smaller jump than firms with higher operating risk, corresponding to their relative positions within the bifurcation set of the catastrophe cusp.

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 study addressed two issues. First, it examined the ability of two models, developed by Cox, Ingersoll and Ross (CIR), to explain the differences between futures and implicit forward prices in the thirteen-week T-bill market. The models imply that if future interest rates are stochastic, futures and forward prices differ; the structural difference is due to the daily settlement process required in futures trading. Second, the study determined the efficiency of the thirteen-week T-bill futures market using volatility and regression tests. Volatility tests use variance bounds to examine whether futures prices are excessively volatile for the market to be efficient. Regression tests investigate whether futures prices are unbiased predictors of future spot prices. The study was limited to analysis of the first three futures contracts, using weekly price data as reported in the Wall Street Journal from March, 1976 to December, 1984. Testing of the first CIR model involved determination of whether changes in futures-forward price differences are related to changes in local covariances between T-bill futures and bond prices. The same procedure applied in testing the second model with respect to changes in futures-forward price differences, local covariances between T-bill spot and bond prices, and local variances of bond …

The purpose of this study is to investigate the usefulness of statistical decomposition measures in the prediction of industrial bond rating changes. Further, the predictive ability of decomposition measures is compared with multiple discriminant analysis on the same sample. The problem of this study is twofold. It stems in general from the statistical problems associated with current techniques employed in the study of bond ratings and in particular from the lack of attention to the study of bond rating changes. Two main hypotheses are tested in this study. The first is that bond rating changes can be predicted through the use of financial statement data. The second is that decomposition analysis can achieve the same performance as multiple discriminant analysis in duplicating and predicting industrial bond rating changes. To explain and predict industrial bond rating changes, statistical decomposition measures were computed for each company in the sample. Based on these decomposition measures, the two types of analyses performed were (a) a univariate analysis where each decomposition measure was compared with an industry average decomposition measure, and (b) a multivariate analysis where decomposition measures were used as independent variables in a probability linear model. In addition to statistical decomposition analysis, multiple …

This dissertation examines the reaction of common stock prices to changes in bond ratings by Moody's Bond Service. The question is whether an announcement of a re-rating by Moody's is new information. There are only two studies of stock price reaction to bond changes and the results are conflicting. Pinches and Singleton (1978) [PS] concluded that any reaction comes well before the re-rating. Griffin and Sanvicente (1982) [GS] found that their portfolio test indicated that rating changes do convey new information. This was particularly true for downgradings. Both studies used monthly data and neither performed a statistical testing of residual reversals. PS provided a graph of the residuals which indicated the presence of a reversal trend. GS provided no information on this topic. This study, using daily data and the cumulative prediction error technique, finds that bond re-ratings offer new information. The results indicate that the market only partially anticipates the bond change. For the downgrades, the excess return on the announcement day is .6% which is statistically significant. The residuals reverse after the announcement day, but are not statistically significant. The upgrades do not have a significant reaction on the announcement day, but have a statistically significant negative reaction …

This empirical study is concerned with the usefulness of proposed supplementary disclosures for oil and gas producers to financial analysts in valuing a company. It is concerned with what supplementary information is being used, to what extent it is being used and which type of information is used most. Three main research procedures are employed. In the first procedure, the Mann-Whitney U Test is applied to determine any significant difference between valuing an oil and gas producing company using basic financial statements and ratio data, and valuing the same company with this information plus the proposed disclosures. The second procedure involves applying the chi-square and Cramer's V statistics to determine whether the disclosure information caused switching in valuation method used for each of the cases. The third procedure tests for significant differences between financial ratios used for each case by employing the test of differences between two proportions. Additional evaluation attempts to determine analysts' perceived usefulness of each of the schedules of the proposed disclosures

The purpose of this study is to examine a two-part hypothesis. The first part is that underdepreciation is the cause of serious financial problems which have beset investor-owned electric utilities in recent years. The second part is that depreciation adjusted for changes in the general level of prices would do much to alleviate these problems.

The purpose of this study was to examine the aspects of redeployment in general terms, and then to present a case study of a specific redeployment program to analyze its effectiveness as a corporate financial tool. The first four chapters discuss the general and financial definitions of redeployment, as well as the objectives, benefits, and alternate methods of the operational asset form of redeployment. The specific redeployment program analyzed is the case study of Ling-Temco-Vought's use of the operational asset form of redeployment. The purpose of the case study was to determine if Ling-Temco--Vought achieved their stated objectives. An analysis of these objectives shows that redeployment was a success.