Computational Finance
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| Autore: |
Stentoft Lars
|
| Titolo: |
Computational Finance
|
| Pubblicazione: | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica: | 1 online resource (259 p.) |
| Soggetto topico: | Economics, Finance, Business and Management |
| Soggetto non controllato: | 4/2 model |
| algorithmic trading | |
| American options | |
| asset pricing | |
| asset pricing models | |
| bid-ask spread | |
| bitcoin | |
| calibration | |
| computational finance | |
| dealer behaviour | |
| defined contribution plan | |
| derivatives | |
| directional-change | |
| drawdown | |
| dynamic asset allocation | |
| dynamic programming | |
| exercise boundary | |
| financial econometrics | |
| forex | |
| hedging | |
| high-frequency data | |
| instantaneous volatility | |
| insurance | |
| jump-diffusion model | |
| least-squares Monte Carlo | |
| liquidity | |
| market quality | |
| mean-reversion | |
| Monte Carlo | |
| multiple exercise options | |
| multivariate models | |
| option pricing | |
| overnight price gaps | |
| P500 | |
| probability of shortfall | |
| put-call symmetry | |
| quadratic shortfall | |
| regression | |
| resampled backtests | |
| risk management | |
| risk measures | |
| risk-neutral models | |
| S& | |
| safe assets | |
| seasonality | |
| securitisation | |
| simulation | |
| Solvency II | |
| statistical arbitrage | |
| stochastic covariance | |
| stochastic optimal control | |
| volatility | |
| Persona (resp. second.): | StentoftLars |
| Sommario/riassunto: | With the availability of new and more comprehensive financial market data, making headlines of massive public interest due to recent periods of extreme volatility and crashes, the field of computational finance is evolving ever faster thanks to significant advances made theoretically, and to the massive increase in accessible computational resources. This volume includes a wide variety of theoretical and empirical contributions that address a range of issues and topics related to computational finance. It collects contributions on the use of new and innovative techniques for modeling financial asset returns and volatility, on the use of novel computational methods for pricing, hedging, the risk management of financial instruments, and on the use of new high-dimensional or high-frequency data in multivariate applications in today's complex world. The papers develop new multivariate models for financial returns and novel techniques for pricing derivatives in such flexible models, examine how pricing and hedging techniques can be used to assess the challenges faced by insurance companies, pension plan participants, and market participants in general, by changing the regulatory requirements. Additionally, they consider the issues related to high-frequency trading and statistical arbitrage in particular, and explore the use of such data to asses risk and volatility in financial markets. |
| Titolo autorizzato: | Computational Finance |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910557767003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |