This research evaluates the effectiveness of analytical review procedures (ARPs) in a manner consistent with their application in the audit process. The study has four primary objectives: (1) To evaluate and compare the statistical characteristics of the distributions of auditor-initiated adjustments in five financial statement accounts. (2) To evaluate and compare the auditor's evaluation of the internal control system and the distributions of auditor-initiated adjustments. (3) To evaluate and compare the distributions of AIAs by initial detection sources. (4) To evaluate and compare the relative effectiveness of selected ARPs using alternative performance measures. / Data for the research are from 49 small manufacturing firms and include three-year's audit adjustments classified by initiating events, audited account balances, and rankings of the internal control system. The performance measures used to assess the relative effectiveness of the ARPs are derived from the actual distributions of auditor-initiated adjustments. / Source: Dissertation Abstracts International, Volume: 44-11, Section: A, page: 3420. / Thesis (D.B.A.)--The Florida State University, 1983.

This study examines the potential contributions to analytical procedure research from using three statistical time series models (regression, state-space and exponential smoothing) and a new nonparametric investigation rule. Quarterly published data from "single industry" companies were used for analysis as well as a basis for simulation. Thus, an integrated approach with compatible research design given to actual and simulated data can be taken in the testing for model performance. Structural change impacts are also investigated. / The success of the time series model in predicting audit errors depends on the underlying stochastic properties of the data, which in turn are influenced by the quality of the database. Specifically, data that are reported intermittently are extremely difficult to model. The predictability of the models improved if a trend was present, but deteriorated if the cycle and seasonality factors were dominant. Results using simulated data were more revealing since noise elements from the actual series had been filtered out. / Performance of the three models examined was generally equivalent while differences exist for account balances and ratios for some companies. Ratios in general are more difficult to predict presumably due to the loss of information from their own computational mechanism. The regression model was found to be prone to produce more false signals (Type I errors). In terms of instances of the models' "failure to detect" (Type II errors), the error distribution pattern was more influential than other factors. / The new nonparametric investigation rule has shown potential as an audit tool in that this rule worked quite well under circumstances in which the conventional rule was less satisfactory. Moreover, this rule is quite robust in general even when "structural change" is present. / The impacts of having longer data series and parameter changes within the sampling period were examined with simulated data. The results suggest that doubling the length of the estimation period yields little benefits while a simple shifting of means will significantly jeopardize the estimation process. Auditors and researchers need to be careful in this design issue in that haphazard accumulation of data will render the results meaningless. Dynamic models that provide for such parameter change should be investigated. / Source: Dissertation Abstracts International, Volume: 53-10, Section: A, page: 3584. / Major Professor: William A. Hillison. / Thesis (Ph.D.)--The Florida State University, 1992.

This study provided evidence as to whether the translation adjustments under SFAS 52 and SFAS 70 provide incremental information content with respect to equity and cash flows, measured both as security returns and unsystematic security returns. Specific objectives included in the study were to examine and assess: (1) The information content for each of the earnings variables used in the study; (2)-(3) The incremental information content of the SFAS 52 and SFAS 70 translation adjustments as additions to the information content in historical cost and current cost earnings; (4) The incremental information content of the SFAS 52 and SFAS 70 translation adjustments relative to each other. / For the translation adjustments, the null hypothesis was no incremental information content. This is consistent with the Financial Accounting Standards Board position of no contemporaneous relationship between the translation adjustment and the current period's income and cash flows. The alternative hypothesis of incremental information content is consistent with the position that the translation adjustment is an economic variable that equates the current period return on a foreign investment with the return on an economically equivalent U.S. investment. / The study used an empirical approach to meet Research Objectives 1-3 and an analytic approach to meet Research Objective 4. A cross-sectional regression analysis for 1981 and 1982, with data from a maximum of 212 publicly traded firms, was used in the empirical tests. / For RO1, the test results confirmed information content for all income variables in 1982. For 1981, results for historical cost earnings variables were weaker but confirmatory. The 1981 results for the current cost income variables were not confirmatory overall. The test results for RO2 and RO3 produced no substantial evidence of incremental information content for the historical cost or current cost translation adjustment variables in either year. This finding for the translation adjustments is consistent with the FASB position. / The analytic result for RO4 showed that any incremental information between the SFAS 52 and SFAS 70 translation adjustments would arise not from the change in the exchange rate but from the difference in the income measures included in the translation adjustments. / Source: Dissertation Abstracts International, Volume: 47-10, Section: A, page: 3805. / Thesis (Ph.D.)--The Florida State University, 1986.

Source: Dissertation Abstracts International, Volume: 31-09, Section: A, page: 4324. / Thesis (D.B.A.)--The Florida State University, 1970.

The purpose of this empirical study is to examine the relationship that exists between an accounting-based estimate of systematic risk (accounting beta) and market beta, where accounting beta is determined using four income measurement models: the historical cost model (HC), the general price-level adjusted historical cost model (GPLAHC), the replacement cost model (RC) and the general price-level adjusted replacement cost model (GPLARC). Specifically, the objectives of the study are: (1) To identify changes in observed values of accounting beta attributable to the application of the four income measurement models of interest. (2) To evaluate the direction and significance of the cross-sectional association between market beta and accounting beta determined using these income models. (3) To determine whether the use of one or more of the income models demonstrates a closer association between accounting and market betas. / The study utilizes a non-parametric statistical design and data from four primary sources: the Financial Accounting Standards Board Statement No. 33 data base, the quarterly and annual COMPUSTAT tapes, and the CRSP monthly returns file. / The results of the study offer the following conclusions: (1) There exist significant differences among accounting betas computed using the various income models tested. These differences exist primarily between the price-level adjusted (GPLAHC and GPLARC) and non price-level adjusted (HC and RC) models. (2) Accounting betas computed using the HC and RC models exhibit significant, positive correlations with market beta. A slight advantage can be attributed to the RC model over the HC model. Using the GPLAHC and GPLARC models, the correlations with market beta are not significant. (3) Accounting betas computed using the HC and RC models tend to rank securities in a fashion which is more consistent with a market beta ranking than the GPLAHC and GPLARC models. / Overall, for purposes of assessing accounting-based estimates of systematic risk, the RC model offers a potentially useful alternative to historical cost. However, price-level adjustments appear to be counter-productive. / Source: Dissertation Abstracts International, Volume: 43-12, Section: A, page: 3951. / Thesis (D.B.A.)--The Florida State University, 1983.

Source: Dissertation Abstracts International, Volume: 40-09, Section: A, page: 5097. / Thesis (D.B.A.)--The Florida State University, 1979.

Source: Dissertation Abstracts International, Volume: 31-11, Section: A, page: 5581. / Thesis (D.B.A.)--The Florida State University, 1970.

Source: Dissertation Abstracts International, Volume: 40-09, Section: A, page: 5095. / Thesis (D.B.A.)--The Florida State University, 1979.

The purpose of this study is to develop and test a model to predict the growth of earnings (growth between six years), using generally available information. An underlying theme of this study is whether generally available information can be used to predict the growth of earnings. A random-walk-of-growth model, a random-walk-of-growth-with-drift model, and a random-walk-of-earnings model are used as standards for comparisons. / As conceptualized in this study, earnings are maximized by combining the firm's production, marketing, financing, investment, and size decisions in a way that acknowledges the existence of industry-specific and economy-wide phenomena. In addition, earnings are conceptualized to be a function of growth costs, which create a lag in the complete response of earnings to the decisions of the firm. The model is developed according to the concepts above, using various assumptions. The variables in the model are operationally defined, and the model is compared with the three previously noted models using analysis of variance and three different error metrics. / No significant difference between models is found. The findings of this study indicate that the model developed in this study, the random-walk-of-growth model, the random-walk-of-growth-with-drift model, and the random-walk-of-earnings model are neither significantly superior or inferior to each other in predicting the growth of earnings. / Source: Dissertation Abstracts International, Volume: 42-01, Section: A, page: 0266. / Thesis (D.B.A.)--The Florida State University, 1981.

Source: Dissertation Abstracts International, Volume: 40-11, Section: A, page: 5911. / Thesis (D.B.A.)--The Florida State University, 1979.