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Practice makes perfect. Therefore the best method of mastering models is working with them. In this book we present a collection of exercises and solutions which can be helpful in the comprehension of Statistics of Financial Markets. The exercises illustrate the theory by discussing practical examples in detail. We provide computational solutions for the problems, which are all calculated using R and Matlab. The corresponding Quantlets - a name we give to these program codes - are provided in this book. They follow the name scheme SFSxyz123 and can be downloaded from the Springer homepage. We have sought to strike a balance between theoretical presentation and practical challenges. The book is divided into three main parts, in which we discuss option pricing, time series analysis and advanced quantitative statistical techniques in finance.
Electronic books. -- local. --- Finance -- Statistics. --- Financial services industry. --- Finance --- Pricing --- Time-series analysis --- Mathematics --- Physical Sciences & Mathematics --- Business & Economics --- Finance - General --- Mathematical Statistics --- Mathematical models --- Statistical methods --- Services, Financial --- Financial statistics --- Mathematics. --- Finance. --- Economics, Mathematical. --- Probabilities. --- Statistics. --- Public finance. --- Probability Theory and Stochastic Processes. --- Public Economics. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Quantitative Finance. --- Finance, general. --- Service industries --- Distribution (Probability theory. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Funding --- Funds --- Economics --- Currency question --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Cameralistics --- Public finance --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Public finances --- Pricing. --- Mathematical models. --- Statistical methods. --- Statistics . --- Economics, Mathematical . --- Mathematical economics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Methodology --- Finance - Mathematical models --- Finance - Statistical methods
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Practice makes perfect. Therefore the best method of mastering models is working with them. This book contains a large collection of exercises and solutions which will help explain the statistics of financial markets. These practical examples are carefully presented and provide computational solutions to specific problems, all of which are calculated using R and Matlab. This study additionally looks at the concept of corresponding Quantlets, the name given to these program codes and which follow the name scheme SFSxyz123. The book is divided into three main parts, in which option pricing, time series analysis and advanced quantitative statistical techniques in finance is thoroughly discussed. The authors have overall successfully created the ideal balance between theoretical presentation and practical challenges.
Credit -- Problems, exercises, etc. --- Finance -- Mathematical models -- Problems, exercises, etc. --- Finance -- Statistical methods. --- Pricing. --- Finance --- Pricing --- Time-series analysis --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Mathematical models --- Statistical methods --- Analysis of time series --- Price policy --- Price policy, Industrial --- Retail pricing --- Statistics. --- Finance. --- Economics, Mathematical. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Quantitative Finance. --- Finance, general. --- Economics --- Mathematical economics --- Econometrics --- Funding --- Funds --- Currency question --- Statistical analysis --- Statistical data --- Statistical science --- Methodology --- Statistics for Business, Management, Economics, Finance, Insurance. --- Time-series analysis. --- Mathematical models. --- Statistical methods. --- Statistics . --- Economics, Mathematical .
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Practice makes perfect. Therefore the best method of mastering models is working with them. This book contains a large collection of exercises and solutions which will help explain the statistics of financial markets. These practical examples are carefully presented and provide computational solutions to specific problems, all of which are calculated using R and Matlab. This study additionally looks at the concept of corresponding Quantlets, the name given to these program codes and which follow the name scheme SFSxyz123. The book is divided into three main parts, in which option pricing, time series analysis and advanced quantitative statistical techniques in finance is thoroughly discussed. The authors have overall successfully created the ideal balance between theoretical presentation and practical challenges.
Statistical science --- Quantitative methods (economics) --- Finance --- Economics --- Financial law --- Mathematical statistics --- Financial analysis --- Investment management --- Business economics --- Matlab (informatica) --- financieel management --- time series analysis --- economie --- statistiek --- investeringen --- financiën --- bankwezen --- financiële analyse --- econometrie --- wiskunde --- financieel recht
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Practice makes perfect. Therefore the best method of mastering models is working with them. In this book we present a collection of exercises and solutions which can be helpful in the comprehension of Statistics of Financial Markets. The exercises illustrate the theory by discussing practical examples in detail. We provide computational solutions for the problems, which are all calculated using R and Matlab. The corresponding Quantlets - a name we give to these program codes - are provided in this book. They follow the name scheme SFSxyz123 and can be downloaded from the Springer homepage. We have sought to strike a balance between theoretical presentation and practical challenges. The book is divided into three main parts, in which we discuss option pricing, time series analysis and advanced quantitative statistical techniques in finance.
Statistical science --- Public finance --- Finance --- Public economics --- Economics --- Operational research. Game theory --- Mathematical statistics --- Probability theory --- Mathematics --- Business economics --- kennis --- financieel management --- waarschijnlijkheidstheorie --- stochastische analyse --- economie --- statistiek --- sociale interventies --- financiën --- overheidsfinanciën --- econometrie --- wiskunde --- kansrekening
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Finance --- -Mathematical models --- -Problems, exercises, etc
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Practice makes perfect. Therefore the best method of mastering models is working with them. In this book we present a collection of exercises and solutions which can be helpful in the comprehension of Statistics of Financial Markets. The exercises illustrate the theory by discussing practical examples in detail. We provide computational solutions for the problems, which are all calculated using R and Matlab. The corresponding Quantlets - a name we give to these program codes - are provided in this book. They follow the name scheme SFSxyz123 and can be downloaded from the Springer homepage. We have sought to strike a balance between theoretical presentation and practical challenges. The book is divided into three main parts, in which we discuss option pricing, time series analysis and advanced quantitative statistical techniques in finance.
Statistics. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Quantitative Finance. --- Finance /Banking. --- Finance. --- Economics --- Banks and banking. --- Statistique --- Finances --- Banques --- Finance --- Pricing --- Time-series analysis --- Mathematical models --- Statistical methods --- AA / International- internationaal --- 303.0 --- 305.91 --- 333.642 --- 333.647 --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles. --- Termijn. Financial futures. --- Optiemarkt. --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Price policy --- Price policy, Industrial --- Retail pricing --- Marketing --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles --- Termijn. Financial futures --- Optiemarkt
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