Modeling and pricing of swaps for financial and energy markets with stochastic volatilities / / Anatoliy Swishchuk, University of Calgary, Canada

• Record Nr.: UNINA9910807429803321
• Autore: Svishchuk A. V (Anatoliĭ Vitalʹevich)
• Pubbl/distr/stampa: Teaneck, NJ, : World Scientific, c2013; New Jersey : , : World Scientific, , [2013]; �2013
• ISBN: 981-4440-13-2
• Descrizione fisica: 1 online resource (xxii, 303 pages) : illustrations (some color)
• Collana: Gale eBooks
• Disciplina: 332.64/5
• Soggetti: Swaps (Finance) - Mathematical models; Finance - Mathematical models; Stochastic processes
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Preface; Acknowledgments; Contents; 1. Stochastic Volatility; 1.1 Introduction; 1.2 Non-Stochastic Volatilities; 1.2.1 Historical Volatility; 1.2.2 Implied Volatility; 1.2.3 Level-Dependent Volatility and Local Volatility; 1.3 Stochastic Volatility; 1.3.1 Approaches to Introduce Stochastic Volatility; 1.3.2 Discrete Models for Stochastic Volatility; 1.3.3 Jump-Diffusion Volatility; 1.3.4 Multi-Factor Models for Stochastic Volatility; 1.4 Summary; Bibliography; 2. Stochastic Volatility Models; 2.1 Introduction; 2.2 Heston Stochastic Volatility Model; 2.3 Stochastic Volatility with Delay; 2.4 Multi-Factor Stochastic Volatility Models2.5 Stochastic Volatility Models with Delay and Jumps; 2.6 Levy-Based Stochastic Volatility with Delay; 2.7 Delayed Heston Model; 2.8 Semi-Markov-Modulated Stochastic Volatility; 2.9 COGARCH(1,1) Stochastic Volatility Model; 2.10 Stochastic Volatility Driven by Fractional Brownian Motion; 2.10.1 Stochastic Volatility Driven by Fractional Ornstein-Uhlenbeck Process; 2.10.2 Stochastic Volatility Driven by Fractional Vasicek Process; 2.10.3 Markets with Stochastic Volatility Driven by Geometric Fractional Brownian Motion; 2.10.4 Stochastic Volatility Driven by Fractional Continuous- Time GARCH Process2.11 Mean-Reverting Stochastic Volatility Model (Continuous-Time GARCH Model) in Energy Markets; 2.12 Summary; Bibliography; 3. Swaps; 3.1 Introduction; 3.2 Definitions of Swaps; 3.2.1 Variance and Volatility Swaps; 3.2.2 Covariance and Correlation Swaps; 3.2.3 Pseudo-Swaps; 3.3 Summary; Bibliography; 4. Change of Time Methods; 4.1 Introduction; 4.2 Descriptions of the Change of Time Methods; 4.2.1 The General Theory of Time Changes; 4.2.1.1 Martingale and Semimartingale Settings of Change of Time; 4.2.1.2 Stochastic Differential Equations Setting of Change of Time4.2.2 Subordinators as Time Changes; 4.2.2.1 Subordinators; 4.2.2.2 Subordinators and Stochastic Volatility; 4.3 Applications of Change of Time Method; 4.3.1 Black-Scholes by Change of Time Method; 4.3.2 An Option Pricing Formula for a Mean-Reverting Asset Model Using a Change of Time Method; 4.3.3 Swaps by Change of Time Method in Classical Heston Model; 4.3.4 Swaps by Change of Time Method in Delayed Heston Model; 4.4 Different Settings of the Change of Time Method; 4.4.0.1 Change of Time Method in Martingale Setting; 4.4.0.2 Change of Time Method in Stochastic Differential Equation Setting4.4.0.3 Examples: Solutions of Some SDEs17; 4.5 Summary; Bibliography; 5. Black-Scholes Formula by Change of Time Method; 5.1 Introduction; 5.2 Black-Scholes Formula by Change of Time Method; 5.2.1 Black-Scholes Formula; 5.2.2 Solution of SDE for Geometric Brownian Motion using Change of Time Method; 5.2.3 Properties of the Process W ( t-1); 5.3 Black-Scholes Formula by Change of Time Method; 5.4 Summary; Bibliography; 6. Modeling and Pricing of Swaps for Heston Model; 6.1 Introduction; 6.2 Variance and Volatility Swaps; 6.2.1 Variance and Volatility Swaps for Heston Model
• Sommario/riassunto: Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities is devoted to the modeling and pricing of various kinds of swaps, such as those for variance, volatility, covariance, correlation, for financial and energy markets with different stochastic volatilities, which include CIR process, regime-switching, delayed, mean-reverting, multi-factor, fractional, Levy-based, semi-Markov and COGARCH(1,1). One of the main methods used in this book is change of time method. The book outlines how the change of time method works for different kinds of models and problems a

Meaning predictability in word formation : novel, context-free naming units / / Pavol Stekauer

• Record Nr.: UNINA9910958320003321
• Autore: Stekauer Pavol
• Pubbl/distr/stampa: Amsterdam ; ; Philadelphia, : J. Benjamins Pub., 2005
• ISBN: 9786612156847; 9781282156845; 1282156845; 9789027294562; 9027294569; 9781423761013; 1423761014
• Edizione: [1st ed.]
• Descrizione fisica: xxii, 288 p
• Collana: Studies in functional and structural linguistics, , 0165-7712 ; ; v. 54
• Disciplina: 401/.43
• Soggetti: Grammar, Comparative and general - Word formation; Semantics; Onomasiology
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Meaning Predictability in Word Formation -- Editorial page -- Title page -- LCC data -- Table of contents -- Acknowledgements -- List of abbreviations -- Introduction -- 1. Literature survey -- 1.1. General -- 1.2. The morphological tradition -- 1.2.1. Lees -- 1.2.2. Levi -- 1.2.3. Van Lint -- 1.2.4. Zimmer -- 1.2.5. Downing -- 1.2.6. Allen -- 1.3. Basic psycholinguistic models -- 1.3.1. Slot-filling models -- 1.3.2. Relation models -- 1.3.3. Analogy-based models -- 1.3.4. Combined and other models -- 1.3.5. Non-compound interpretation models -- 1.4. Summary -- 2. General word formation framework -- 2.1. An onomasiological model of word formation -- 2.2. Onomasiological Types -- 3. A theory of predictability -- 3.1. Why context-free meaning predictability? -- 3.2. Predictability - lexical meaning - conceptualisation - extra-linguistic knowledge -- 3.3. Predictability and the native/non-native speaker factor -- 3.4. Predictability and seme level -- 3.5. The meaning-prediction process -- 3.5.1. ; Predictability and the Onomasiological Type -- 3.6. Onomasiological Structure Rules -- 3.7. Predictability and productivity -- 3.8. Predictability and typicality -- 3.9. Predictability Rate -- 3.10. Objectified Predictability Rate -- 3.11. Hypotheses -- 4. The Experiments -- 4.1. Method -- 4.2. Experiment 1 -- 4.2.1. Sample naming units -- 4.2.2. Experimental data and their analysis -- 4.2.3. Summary 1 -- 4.3. Experiment 2 -- 4.3.1. Sample naming units -- 4.3.2. Experimental data and their analysis -- 4.3.3. Summary 2 -- 4.4. Experiment 3 -- 4.4.1. Sample naming units -- 4.4.2. Experimental data and their analysis -- 4.4.3. Summary 3 -- 4.5. Experiment 4 -- 4.5.1. Sample naming units -- 4.5.2. Experimental data and their analysis -- 4.5.3. Discussion -- 4.5.4. Summary 4.; 4.6. Meaning predictability and associative meaning: The experimental results in the light of free association of words -- 4.6.1. Meaning predictability of conversions and the associative principle -- 4.6.2. Summary 5 -- 4.6.3. Meaning predictability of two-constituent naming units and the associative principle -- 4.6.4. Summary 6 -- 5. Conclusions -- 5.1. General -- 5.2. Conclusions -- Notes -- References -- Author index -- Subject index -- The series Studies In Functional And Structural Linguistics.
• Sommario/riassunto: This book aims to contribute to a growing interest amongst psycholinguists and morphologists in the mechanisms of meaning predictability. It presents a brand-new model of the meaning-prediction of novel, context-free naming units, relating the wordformation and wordinterpretation processes. Unlike previous studies, mostly focussed on N+N compounds, the scope of this book is much wider. It not only covers all types of complex words, but also discusses a whole range of predictability-boosting and -reducing conditions. Two measures are introduced, the Predictability Rate and the Objectified Predictability Rate, in order to compare the strength of predictable readings both within a word and relative to the most predictable readings of other coinages. Four extensive experiments indicate inter alia the equal predicting capacity of native and non-native speakers, the close interconnection between linguistic and extra-linguistic factors, the important role of prototypical semes, and the usual dominance of a single central reading.