Quantitative Methods for Economics and Finance

This book is a collection of papers for the Special Issue "Quantitative Methods for Economics and Finance" of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book ga...

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Other Authors: Trinidad-Segovia, J.E (Editor), Sánchez-Granero, Miguel Ángel (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
VaR
EVT
DEA
DCC
Online Access:Get Fullteks
DOAB: description of the publication
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100 1 |a Trinidad-Segovia, J.E.  |4 edt 
700 1 |a Sánchez-Granero, Miguel Ángel  |4 edt 
700 1 |a Trinidad-Segovia, J.E.  |4 oth 
700 1 |a Sánchez-Granero, Miguel Ángel  |4 oth 
245 1 0 |a Quantitative Methods for Economics and Finance 
260 |a Basel, Switzerland  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2021 
300 |a 1 electronic resource (418 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a This book is a collection of papers for the Special Issue "Quantitative Methods for Economics and Finance" of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers 19 papers on topics such as volatility clusters and volatility dynamic, forecasting, stocks, indexes, cryptocurrencies and commodities, trade agreements, the relationship between volume and price, trading strategies, efficiency, regression, utility models, fraud prediction, or intertemporal choice. 
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653 |a tax evasion 
653 |a informality 
653 |a pairs trading 
653 |a hurst exponent 
653 |a financial markets 
653 |a long memory 
653 |a co-movement 
653 |a cointegration 
653 |a risk 
653 |a delay 
653 |a decision-making process 
653 |a probability 
653 |a discount 
653 |a detection 
653 |a mean square error 
653 |a multicollinearity 
653 |a raise regression 
653 |a variance inflation factor 
653 |a derivation 
653 |a intertemporal choice 
653 |a decreasing impatience 
653 |a elasticity 
653 |a GARCH 
653 |a EGARCH 
653 |a VaR 
653 |a historical simulation approach 
653 |a peaks-over-threshold 
653 |a EVT 
653 |a student t-copula 
653 |a generalized Pareto distribution 
653 |a centered model 
653 |a noncentered model 
653 |a intercept 
653 |a essential multicollinearity 
653 |a nonessential multicollinearity 
653 |a commodity prices 
653 |a futures prices 
653 |a number of factors 
653 |a eigenvalues 
653 |a volatility cluster 
653 |a Hurst exponent 
653 |a FD4 approach 
653 |a volatility series 
653 |a probability of volatility cluster 
653 |a S&amp 
653 |a P500 
653 |a Bitcoin 
653 |a Ethereum 
653 |a Ripple 
653 |a bitcoin 
653 |a deep learning 
653 |a deep recurrent convolutional neural networks 
653 |a forecasting 
653 |a asset pricing 
653 |a financial distress prediction 
653 |a unconstrained distributed lag model 
653 |a multiple periods 
653 |a Chinese listed companies 
653 |a cash flow management 
653 |a corporate prudential risk 
653 |a the financial accelerator 
653 |a financial distress 
653 |a induced risk aversion 
653 |a liquidity constraints 
653 |a liquidity risk 
653 |a macroeconomic propagation 
653 |a multiperiod financial management 
653 |a non-linear macroeconomic modelling 
653 |a Tobin's q 
653 |a precautionary savings 
653 |a pharmaceutical industry 
653 |a scale economies 
653 |a profitability 
653 |a biotechnological firms 
653 |a non-parametric efficiency 
653 |a productivity 
653 |a DEA 
653 |a dispersion trading 
653 |a option arbitrage 
653 |a volatility trading 
653 |a correlation risk premium 
653 |a econometrics 
653 |a computational finance 
653 |a ensemble empirical mode decomposition (EEMD) 
653 |a autoregressive integrated moving average (ARIMA) 
653 |a support vector regression (SVR) 
653 |a genetic algorithm (GA) 
653 |a energy consumption 
653 |a cryptocurrency 
653 |a gold 
653 |a P 500 
653 |a DCC 
653 |a copula 
653 |a copulas 
653 |a Markov Chain Monte Carlo simulation 
653 |a local optima vs. local minima 
653 |a SRA approach 
653 |a foreign direct investment 
653 |a bilateral investment treaties 
653 |a regional trade agreements 
653 |a structural gravity model 
653 |a policy uncertainty 
653 |a stock prices 
653 |a dynamically simulated autoregressive distributed lag (DYS-ARDL) 
653 |a threshold regression 
653 |a United States 
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