A Statistical Analysis to Predict Financial Distress

Proposal for a Decision Support System to Predict Financial Distress

In the context of economic instability and uncertainty, when more and more companies struggle with financial difficulties to keep in business, it becomes more obvious of the necessity of a sound strategic planning and an efficient management system. Thai is why I believe that a decision support system that could provide early warning signals of financial distress to a company a few years before...

Corporate Financial Distress: An Empirical Analysis of Distress Risk

Determination of a Statistical Model to Predict COD and TKN from the BOD5 and NH4+ Results

Introduction: The development of an appropriate model for the quality control of an industrial wastewater treatment system can save the time as well as the cost. This study was performed to determine an appropriate model in order to predict the COD and TKN parameters by BOD5 and NH4+ in the Meybod industrial estate wastewater treatment plant (WWTP).  Materials and Methods: This descriptiv...

A Statistical Analysis of Log-Periodic Precursors to Financial Crashes

Motivated by the hypothesis that financial crashes are macroscopic examples of critical phenomena associated with a discrete scaling symmetry, we reconsider the evidence of log-periodic precursors to financial crashes and test the prediction that log-periodic oscillations in a financial index are embedded in the conditional expectation function of this index. In particular, we examine the first...

Statistical analysis of financial networks

Massive datasets arise in a broad spectrum of scienti$c, engineering and commercial applications. In many practically important cases, a massive dataset can be represented as a very large graph with certain attributes associated with its vertices and edges. Studying the structure of this graph is essential for understanding the structural properties of the application it represents. Well-known ...