The overall purpose of this study is to establish whether auditors in South Africa also fail to issue the appropriate audit opinion on the going concern assumption underlying financial statements the reasons for auditors' failure to issue the appropriate audit opinion on the going concern assumption The hypotheses of this study are tested by examining professional auditing standards and secondary data on the going concern assumption conducting an empirical study of listed industrial compames whose listings were terminated because of financial failure This study provides evidence that auditors in South Africa fail to Issue the appropriate audit opinion on the going concern assumption advances specific reasons for this failure / Auditing / M. Comm. (Auditing)

由於各國地雷股事件層出不窮，致使投資人財富遭受巨大損失，若是能事先察覺地雷股的存在，便能使投資人財富有更大的保障。本研究以四家國內外大型的舞弊個案－安隆、世界通訊、博達、力霸作為研究樣本，透過四家公司之財務資訊深入剖析各個案公司之舞弊手法。本研究歸納整理出21個預警指標，以作為未來投資人的評估基礎，以發現危機的早期徵兆，能及早避開地雷股。 研究發現即便是有進行窗飾財務報表的財務危機公司，仍能透過財務報導資訊中發現其端倪，四家個案公司在獲利性指標、流動性指標、安全性指標都有出現至少一項的紅旗警訊。研究結果顯示在下列指標上有較多家公司同時符合：(1) 獲利性指標。當資產報酬率以及股東權益報酬率過低或逐年下滑；(2)流動性指標。現金流量比率過低或逐年下滑；(3)安全性指標。借款依存度過高或逐年增加，以及流動比率過低或逐年下滑。 / Does financial reporting information itself provide early insightful information in detecting financial distress? Window dressing in financial reporting casts doubtful questions on this issue. As with investors usually taking a look at individual firm’s financial reporting, this study utilizes case study with four cases to address this fundamental role of financial reporting. Among the four fraud cases investigated, two are from the United States and the other two are Taiwan companies, including Enron, WorldCom, Procomp, and Rebar. This study sorts out 21 warning indices to evaluate each company’s financial condition and find out the signals for financial distress. All of these four cases investigated have at least one red flag signaled in profitability, liquidity and leverage. The most prominent indices in these three dimensions include (1) Profitability---ROE or ROA decreases in trend annully, (2) Liquidity---low cash flow ratio or decreasing in trend annually and low current ratio or decreasing in trend annually, and (3) Leverage---high debt to equity ratio or increasing in trend annually.

近年來，在中國大陸市場有大量公司進行掛牌上市的同時，也有越來越多的公司出現債務逾期甚至是違約的情況。考慮到目前中國經濟增速放緩，處在轉型發展的複雜階段，銀行信貸等資金供應鏈需要謹慎評估企業出現財務困境的風險。但是我們發現金融機構在平常管理信貸業務的時候會盲目地看重高額利潤的回報而忽略借款者潛在的財務危機，而且投資人在進行投資分析的時候往往也會忽略企業的財務狀況而使自己遭受損失，因此從企業的財務狀況入手對其進行財務困境機率的評估有非常重大的現實意義。 本文通過對企業財務指標進行相關分析以構建公司財務困境機率評估模型。本文選取了不良貸款率最高的製造業作為研究對象，將2015年滬深兩地的124家上市製造業公司的財務資料作為訓練樣本，將2014年120家上市公司的財務資料作為檢驗樣本，將交易所特別處理公司劃分為非正常組公司，其餘為正常組。本文通過篩選得出23個財務指標作為研究變數，引入了 Logistic 模型與 SVM 模型，針對單一模型的預測結果在準確率和穩定性方面不理想的問題引入了基於 Logistic 模型、SVM 模型的組合模型，並用檢驗樣本進行了四個模型的相關實證分析，比較了四個模型之間的準確度。 對四個模型進行實證分析的結果表明：Logistic模型穩健性好、可解釋性強、建模過程簡單易操作，但分類精度略低於 SVM 模型；SVM雖然分類精度高，但缺乏可解釋性和穩定性，且建模過程依賴專家知識和經驗；Logistic -SVM 組合模型則兼具其優點，預測精確度較單一模型均有提高，而且研究發現異態並行結構優於串型結構。通過本文建立的模型可以計算出企業的陷入財務困境的機率，有效評估企業的違約風險，進而為相關金融機構和投資者提供放款或投資的判斷依據。 / At present, more and more companies are listed in the Chinese mainland market. At the same time, more and more companies are frequently at risk of default and overdue. Given the slowdown in China's economic growth and the complex environment of transformation and development, the supply of funds such as bank loans and other capital needs to be cautious, debt default, loan overdue cases are still likely to occur one after another. However, we find that financial institutions blindly value the return of high profits while ignoring the potential financial crisis of borrowers in the normal management of credit business, it is of great significance to start with the financial status of a company to assess the probability of financial distress. This paper builds a company default probability assessment model by analyzing the financial indicators of enterprises. This paper selects the manufacturing industry with the highest NPL as the research object. Taking the financial data of 124 listed manufacturing companies in Shanghai and Shenzhen in 2015 as the training samples, using the financial data of 120 listed companies in 2014 as the test sample, Exchange special treatment companies divided into non-normal group companies, the rest for the normal group. According to the data of its 2015 financial indicators, 23 financial indicators were screened out as research variables, and a comprehensive analysis was carried out. The Logistic model and SVM model were introduced. Combined model was introduced based on the Logistic model and SVM model to solve the problem that the prediction accuracy and stability of the single model were not ideal,. Finally, empirical analysis of the four models is carried out using the sample data of listed companies in 2014, and the accuracy of the four models is compared. The results of empirical analysis of the four models show that Logistic regression model has no strict assumptions on the data, a better stability and interpretation, but the classification accuracy is slightly lower than the SVM model. The SVM model has higher classification accuracy, but the disadvantage is the lack of interpretability and stability, the modeling process depends on expert knowledge and experience. In order to balance the stability of Logistic model and the accuracy of SVM model, this paper introduces a combined model based on Logistic model and SVM model. The analysis shows that the prediction accuracy of combined model is higher than that of single model, the combination of Logistic regression model and SVM model based on Parallel structure has a higher prediction accuracy than Sequential structure. The model established in this paper can calculate the default probability of an enterprise, effectively assess companies’ risk of financial distress, and then provide the judgment basis for the relevant financial institutions and investors to lend or invest.

Cette thèse se compose de trois essais sur deux anomalies bien documentées : effet momentum et anomalie des ajustements comptables. Le premier essai examine si l'ampleur de l'anomalie des ajustements comptables est entraînée par la probabilité de détresse financière. Les résultats indiquent que l'anomalie des ajustements comptables est économiquement et statistiquement positive pour les entreprises avec une faible probabilité de détresse financière, mais non significative pour celles avec une forte probabilité de détresse financière. Cela signifie que cette anomalie des ajustements comptables est omniprésente, mais pas limitée aux entreprises avec une faible probabilité de détresse financière. Le deuxième essai étend la question de recherche abordée dans le premier essai au marché boursier émergent du Vietnam. Comme pour les résultats du premier essai, les résultats indiquent que l'anomalie des ajustements comptables est limitée aux stocks avec une faible probabilité de détresse financière. Le dernier essai examine si l'effet momentum se produit sur le marché boursier vietnamien. Les résultats confirment la présence de momentum dans le court terme et révèlent aussi que les rendements gagnants et perdants sont faiblement persistants, mais que la forte corrélation entre ces rendements gagnants et perdants crée des bénéfices momentum significatifs. / This dissertation consists of three essays on two well-documented anomalies: momentum effect and accrual anomaly. The first essay investigates whether the magnitude of accrual anomaly is driven by the financial distress probability. The results indicate that accrual anomaly is economically and statistically positive for firms with low financial distress probability, but insignificant for those with high financial distress probability. This means that that accrual anomaly is not pervasive but limited to firms with low financial distress probability. The second essay extends the research question addressed in the first essay into the emerging stock market of Vietnam. Similar to the findings in the first essay, the results indicate that the accrual anomaly is limited to the stocks with low financial distress probability. The last essay examines whether the momentum effect occurs in the Vietnamese stock market. The results support the occurrence of momentum in the short-run and also reveal that winner and loser returns are low persistent, but the strong correlation between winner and loser returns creates significant momentum profits.

在現今關於公司現金決策的文獻中，多數文獻以預防性動機 (precautionary motive) 或是代理問題動機 (agency motive) 來解釋公司為何要存錢，但至今對於公司存錢的動機仍未有一致的定論。在本篇文章中，我們用籌資不易公司 (financially constrained firm) 在2000年網路泡沫以及2008年金融海嘯的表現來證明現金的預防性價值。我們發現事先有存錢的公司在上述事件期間仍能維持其原有的投資支出，反之事先沒存錢的公司在上述期間會擁有較低的股票報酬以及較高的違約風險。此外，本研究也發現曾在2000年網路泡沫期間遭遇資金問題的公司比較容易在2000年後開始存錢，這些預先存錢的公司在2008年金融海嘯來臨時也有相對較小的違約風險，顯示了公司在現金管理方面的學習行為及其好處。綜上所述，本文以外生事件突顯了現金的預防性價值，證明公司的未雨綢繆確實有用。 / This article examines the role of pre-saved cash in helping financially constrained firms during the 2000 dot-com crash and the 2008 financial crisis, both of which were exogenous shocks to industrial firms. The results show that constrained firms tended to increase capital investments during these severe economic downturns if they had pre-saved more cash. Constrained firms instead exhibited lower excess returns and incurred higher likelihoods of financial distress during the severe downturns if they had saved less cash prior to the events. Firms that experienced the 2000 dot-com crash and saved cash thereafter were less likely to default during the 2008 financial crisis, indicating the existence and benefit of learning effects. This study supports a precautionary motive for cash savings, showing that pre-saved cash helps financially constrained firms fund investment and reduces the likelihood of financial distress during severe market downturns. It demonstrates that saving for a rainy day really is valuable.

The diploma thesis is aimed at creating a bankruptcy model for companies of the construction industry in the Czech Republic by using discriminant analysis. In the theoretical part, the concept of bankruptcy model is defined; this part is focused on the inclusion of bankruptcy models in economics, a look into their history, a description of selected models and a brief characteristic of the construction industry. In the practical part, the reliability of selected bankruptcy models is counted and a new bankruptcy model is built.

La tesi comprende tre saggi sul ruolo della volatilità implicita per le banche. La tesi è organizzata in tre capitoli. Capitolo I - studia il ruolo di skew e spread della volatilità implicita nel determinare i rendimenti delle azioni bancarie. Capitolo II - analizza gli effetti degli skew della volatilità implicita e della realized volatility sulla leva finanziaria delle banche. Capitolo III - si focalizza sul rapporto tra il coefficiente di liquidità delle banche e le misure per il rischio estratte dalla volatilità (skew, spread, realized volatility). / The thesis comprehends three essays on option implied volatility risk measures for banks. The thesis is organized in three chapters. Chapter I - studies the informational content for banks' stock returns in option's implied volatilities skews and spread. Chapter II - analyzes the effect of volatility risk measures (volatility skew and realized volatility) on banks' leverage. Chapter III - studies the relationship between banks' liquidity ratio and volatility risk measures.

論文名稱：公司信用風險之衡量 校所組別：國立政治大學金融研究所 畢業時間：九十年度第二學期 提要別：碩士學位論文提要 研究生：林妙宜 指導教授：陳松男博士 論文提要及內容： 信用風險一直是整體金融環境非常重要的一環，銀行授信、商業交易、投資評估，都會對信用風險做仔細的研究與評估。本論文以台灣的公司為樣本，採用會計財務比率與股票價格，主要兩項反映公司體質的資訊，建構信用風險模型，期望能提供台灣公司信用風險衡量上，公正而有效的指標。 以財務比率為基礎的區別分析模型，選取變數為獲利能力指標的常續性EPS、現金流量指標的現金流量對負債、成長率指標的盈餘成長率、償債能力指標的負債比率，與經營能力指標的平均收帳天數，這五項財務比率涵蓋企業繼續經營與財務狀況的各個層面。區別分析模型在財務危機前一年可達正確分類率91．67%。 以股票市場價格為基礎的選擇權模型，可由每日之股票價格求算出預期違約機率，將市場對公司價值的衡量轉化為信用風險的程度，能即時掌握公司體質的變化，做出適當之因應。 關鍵字：信用風險、財務危機、會計資訊、財務比率、區別分析、股票價格、選擇權模型、預期違約機率 / Title of Thesis: Corporate Credit Risk Measurement Name of Institute: Graduate Institute of Money and Banking, NCCU Graduate Date: June, 2002 Name of Student: Lin, Miao-Yi Advisor: Dr. Chen, Son-Nan Abstract: Credit Risk has been the great concern in the financial market. Before the bank grants a loan or the company makes deals and investment, they first consider the credit risk of the conterparty. The empirical study tries to construct the credit risk models based on the public firms in Taiwan. Using financial ratios and stock prices, the two main sources of corporate financial information, we expect to provide a fair and efficient indicator to measure the corporate credit risk in Taiwan. In the discriminant analysis based on accounting data, the model chooses five financial ratios that cover the corporate operation and financial situation. They are earnings per share, operating cash flow to total debt, equity substantial growth rate, and average days to accounts receivable. The discrimanant analysis model can accurately classify 91.67% of the data as being default or solvency one year before the financial distress. In the option pricing model based on stock prices, the expected default probability can be solved by daily stock prices. In this model, how the market values the firm is turned into the level of credit risk, which can help us catch the changes of corporate soundness and make proper responses. Keywords: Credit Risk, Financial Distress, Accounting Data, Financial Ratio, Discrimanant Analysis, Stock Prices, Option Pricing Model, Expected Default Probability

Denna studies syfte var att analysera sex nyckeltal och se vilka samband dessa hade på riskbuffert sysselsatt kapital. Studien utfördes på 796 små byggbolag i Sverige under perioden 2009–2016 med hjälp av en binär logistisk regressionsanalys. Som teoretisk referensram användes working capital management och finansiell oro. Studien resulterade i att kapitalets omsättningshastighet, skuldränta och rörelsekapital/totala tillgångar uppvisade signifikanta negativa samband med riskbuffert sysselsatt kapital. Räntetäckningsgrad och avkastning på totalt kapital resulterade i signifikanta positiva samband med riskbuffert sysselsatt kapital. Skuldsättningsgrad resulterade intressant nog i ett icke signifikant negativt samband. Slutligendiskuterades byggbolagens sannolikhet för finansiell oro utifrån respektive nyckeltal. / The aim of this study was to examine the relation between six independent key ratios with riskbuffer on capital employed. The study was conducted on 796 small construction enterprises in Sweden during 2009–2016 with a binary logistic regression model. As theoretical framework, working capital management and financial distress was applied. The study concluded that the capital turnover rate, interest payable and working capital to total assets had significant negative relations with riskbuffer on capital employed. However, the interest cover ratio and return on total assets were both significant positively related withriskbuffer on capital employed. Debt-to-equity ratio resulted interestly enough in a nonsignificant negative relation. Lastly, with regards taken to every respective key ratio, the probability of financial distress among the construction firms was discussed.