The aim of this book is to provide the basic concepts and techniques underlying the quantitative analysis of risk in stochastic dynamic systems. The methods are general, but the emphasis is on financial systems in market economies, and operating systems in transportation. Real world case studies are included. These case studies illustrate how risk analysis is done in practice. Data files are also analysed with the EViews software. Throughout the book, the role of decisions on the outcome from stochastic systems is emphasized. The theme is that "decisions have consequences". The standard risk measures for the consequences from downside outcomes are presented, and risk-return models incorporate those measures into optimal decisions. With the inclusion of both conceptual models and practical applications, the book is accessible to senior undergraduate and graduate students in business. In particular, the book is a suitable reference or text for a risk analysis course for masters of business administration students. Some mathematical background is required to understand the models and equations. Experience with statistical reasoning and statistical software is an advantage. There are appendices which summarize relevant mathematical concepts included in the book.
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This book is a great reference text for MBA and MA Economics and Finance students, as well as for professional covering a broad range of topics dealing with quantifying risk in a variety of decision-making settings. The book provides readers with rigorous techniques for applied risk problems, offering a broad scope of simulation techniques with minimal mathematical background required.
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Hardcover. Condition: new. Hardcover. This book is a great reference text for MBA and MA Economics and Finance students, as well as for professional covering a broad range of topics dealing with quantifying risk in a variety of decision-making settings. The book provides readers with rigorous techniques for applied risk problems, offering a broad scope of simulation techniques with minimal mathematical background required. Suitable for MBA and MA Economics and Finance students, as well as for professional, this book covers a range of topics dealing with quantifying risk in a variety of decision-making settings. It provides readers with techniques for applied risk problems, offering a broad scope of simulation techniques with minimal mathematical background required. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789814327091
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Hardback. Condition: New. The aim of this book is to provide the basic concepts and techniques underlying the quantitative analysis of risk in stochastic dynamic systems. The methods are general, but the emphasis is on financial systems in market economies, and operating systems in transportation. Real world case studies are included. These case studies illustrate how risk analysis is done in practice. Data files are also analysed with the EViews software.Throughout the book, the role of decisions on the outcome from stochastic systems is emphasized. The theme is that "decisions have consequences". The standard risk measures for the consequences from downside outcomes are presented, and risk-return models incorporate those measures into optimal decisions.With the inclusion of both conceptual models and practical applications, the book is accessible to senior undergraduate and graduate students in business. In particular, the book is a suitable reference or text for a risk analysis course for masters of business administration students.Some mathematical background is required to understand the models and equations. Experience with statistical reasoning and statistical software is an advantage. There are appendices which summarize relevant mathematical concepts included in the book. Seller Inventory # LU-9789814327091
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Hardback. Condition: New. The aim of this book is to provide the basic concepts and techniques underlying the quantitative analysis of risk in stochastic dynamic systems. The methods are general, but the emphasis is on financial systems in market economies, and operating systems in transportation. Real world case studies are included. These case studies illustrate how risk analysis is done in practice. Data files are also analysed with the EViews software.Throughout the book, the role of decisions on the outcome from stochastic systems is emphasized. The theme is that "decisions have consequences". The standard risk measures for the consequences from downside outcomes are presented, and risk-return models incorporate those measures into optimal decisions.With the inclusion of both conceptual models and practical applications, the book is accessible to senior undergraduate and graduate students in business. In particular, the book is a suitable reference or text for a risk analysis course for masters of business administration students.Some mathematical background is required to understand the models and equations. Experience with statistical reasoning and statistical software is an advantage. There are appendices which summarize relevant mathematical concepts included in the book. Seller Inventory # LU-9789814327091
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Hardback. Condition: New. The aim of this book is to provide the basic concepts and techniques underlying the quantitative analysis of risk in stochastic dynamic systems. The methods are general, but the emphasis is on financial systems in market economies, and operating systems in transportation. Real world case studies are included. These case studies illustrate how risk analysis is done in practice. Data files are also analysed with the EViews software.Throughout the book, the role of decisions on the outcome from stochastic systems is emphasized. The theme is that "decisions have consequences". The standard risk measures for the consequences from downside outcomes are presented, and risk-return models incorporate those measures into optimal decisions.With the inclusion of both conceptual models and practical applications, the book is accessible to senior undergraduate and graduate students in business. In particular, the book is a suitable reference or text for a risk analysis course for masters of business administration students.Some mathematical background is required to understand the models and equations. Experience with statistical reasoning and statistical software is an advantage. There are appendices which summarize relevant mathematical concepts included in the book. Seller Inventory # LU-9789814327091
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Hardcover. Condition: new. Hardcover. This book is a great reference text for MBA and MA Economics and Finance students, as well as for professional covering a broad range of topics dealing with quantifying risk in a variety of decision-making settings. The book provides readers with rigorous techniques for applied risk problems, offering a broad scope of simulation techniques with minimal mathematical background required. Suitable for MBA and MA Economics and Finance students, as well as for professional, this book covers a range of topics dealing with quantifying risk in a variety of decision-making settings. It provides readers with techniques for applied risk problems, offering a broad scope of simulation techniques with minimal mathematical background required. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789814327091
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