The main goal of the research «Usage of Risk Measures in Management of Investment Portfolios: Case of Insurance Companies» was to develop an internal investment portfolio management model using risk measures and copulas for Latvian insurance companies. The model satisfies regulatory requirements (under Solvency II regulations) and internal risk management standards, as well as allows dealing with otherwise complex multivariate modeling. The research and empirical study is limited to the usage of Lower Partial Moments (as an example of downside risk measures) and normal, skew normal and skew t-copula; and covers time period from January 2000 until December 2010.
Risk Assessment and Management of Repetitive Movements and Exertions of Upper Limbs,
Risk-Based Reliability Analysis and Generic Principles for Risk Reduction,
With increasing pace of changes in technological and business environment, exchange rate fluctuations, and difficulty in predicting competitors behaviour have made the Strategic Investment Decisions (SIDs) making process more acute, thereby often challenging the task of Decision Makers. This book focuses on how individual as well as organizational characteristics influence on risk analysis (RA) in SIDs. In this book, a model is developed to investigate the relationships of individual and organizational characteristics on the extent of usage of RA in SIDs. The model encompasses five organizational characteristics namely Business Strategy, Information System, Rewards and Control Structure, Environmental Uncertainty, and Performance of a Company, and three individual characteristics namely tenure, experience and risk propensity. This book would provide the current practices of RA within the automotive industry in India. The relationship between the extent of usage of RA in SIDs and specific firm characteristics such as firm size, sales volatility, performance volatility, beta, and leverage are also discussed.
This study seeks to discern the complexities in the stock market and makes an attempt to understand the importance of in the economic growth and development of the emerging economies. The study uses Markowitz theorem to understand the expected returns and risk in the stock market. It explicates that there is very significant level of systemic risk rather than non-systematic risk in the Indian stock market. This analysis also expounds that Indian investors are very intelligent in overcoming the systematic risk through their net selectivity skills. The Indian stock market also graduated to Efficient market as it responds fast to publicly and privately available information. This is also substantiated with the help of portfolio evaluation ratios like Sharpe ratio, Treynor's Ratio and Jensen's measure. The decomposition of risk was also done with the help of Fama's decomposition of total risk and return ratios. It also reiterated that there is very high systematic risk and non-systemic risk is relatively less. It suggests that there is a need to increase the market capitalization in India to diversify the risks as the market is highly volatile and efficient.
The aim of our research is to investigate the relationship between risk management, corporate governance and performance in Tunisian financial institutions. Mainly, this research seeks to examine the effect of risk management and some board's features on financial performance. Empirical analyses are conducted from a sample of 20 Tunisian financial institutions over the period 2002-2011 using an OLS regression. The study shows that board size affect performance significantly. Most importantly, the existence of a risk committee within the institution has a negative and significant effect on performance.
Apply risk management concepts for better understanding Risk Management in Banking – Workbook is the definitive resource that makes Risk Management in Banking more accessible to both students and practitioners. Following the seminal text chapter-by-chapter, this useful workbook reinforces the material from a practical aspect, dispelling confusion and providing hands-on practice. Each chapter contains sample questions with Excel-based solutions, and a detailed set of slides that highlight the key points. Fully worked examples allow readers to follow along step by step to see how solutions are found, helping them understand the process as well as the foundational theory. Instructors will find the slides useful for classroom lectures, and practitioners will find the material to be a practical resource to illustrate real-world application. Reading through theory only takes learning so far – especially for a topic as critical as risk management, it is important to gain the deeper understanding that only hands-on practice can bring. This workbook provides plenty of practice and review opportunities, designed specifically to align directly with the text. Test information retention with sample questions for each chapter Follow worked examples to clarify complex problems Review slides that highlight key points from each chapter Understand the material from a more practical perspective Whether used as a course textbook, a comprehensive study aid, or a professional quick reference, this workbook is a valuable resource to those interested in risk management, regardless of level. For those who prefer to learn by doing, Risk Management in Banking – Workbook contains all the 'need-to-know' topics assembled in a single volume.
Risk Management, Speculation, and Derivative Securities,
Agriculture activities are exposed to controllable and uncontrollable risks. Controllable risks are typically pests, diseases, weeds, and seed material. Uncontrollable risks are mainly climatic such as erratic rainfall, extreme temperature conditions, hail incidences, extreme wind speeds, humidity variations etc. Moreover, the adverse changes in both input and output prices make condition more vulnerable for the farmers. Farmers, from the ages, are trying to cape with above mentioned risks by adopting various risk management strategies. Earlier there were only informal methods of risk mitigation but in independent India, government is also trying to support to the most vulnerable entrepreneurs of the country by offering various formal methods of risk management like insurance, credit, subsidies etc. The study take the look over the situation of the farmers of the desert district of Bikaner.
The global financial crisis of September 2008 highlighted the importance of financial stability, financial soundness, and currency stability. This dissertation contributes to the literature in these areas with two studies. The first essay examines the financial characteristics of banks that use derivatives and those that do not, as well as the relationship between the use of derivatives and financial characteristics using quarterly data from all domestic banks from March 1998 to March 2009. The second essay estimates the sensitivity of stock returns to market, interest and exchange rate risks of the Chinese and Taiwanese financial institutions, and it also examines the pricing of these risk factors in the framework of Ross'' (1976) arbitrage pricing theory. The two-step estimation procedure adopts a seemingly unrelated regression method using daily data for the period from 21 July 2005 to 31 December 2009. Finally, the implications of these findings for regulators, industrialists and academicians are provided in this dissertation.
Risk Assessment & Management in the Context of the Seveso II Directive,6
Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has never been greater for skills, systems and methodologies to manage risk information in financial markets. Authored by leading figures in risk management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues in collecting, measuring and managing financial data. It will appeal to a wide range of audiences, from financial industry practitioners and regulators responsible for implementing risk management systems, to system integrators and software firms helping to improve such systems. Volume I examines the business and regulatory context that makes risk information so important. A vast set of techniques and processes have grown up over time, and without an understanding of the broader forces at work, it is all too easy to get lost in the details.