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Recently, considerable attention has been placed on the development and application of tools useful for the analysis of the high-dimensional and/or high-frequency datasets that now dominate the landscape. The purpose of this Special Issue is to collect both methodological and empirical papers that develop and utilize state-of-the-art econometric techniques for the analysis of such data.
level, slope, and curvature of the yield curve --- Nelson-Siegel factors --- supervised factor models --- combining forecasts --- principal components --- Minimum variance portfolio --- risk --- shrinkage --- S& --- P 500 --- high-frequency --- volatility --- forecasting --- realized measures --- bivariate GARCH --- Japanese candlestick --- ordered fuzzy number --- Kosiński’s number --- oriented fuzzy number --- dynamic analysis of securities --- integrated volatility --- high-frequency data --- jumps --- realized skewness --- cross-sectional stock returns --- signed jump variation --- long-range dependence --- log periodogram regression --- smoothed periodogram --- subsampling --- intraday returns --- portfolio selection --- maximum diversification --- regularization
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This book is comprised of articles published in a Special Issue of the Journal of Risk and Financial Management entitled "Frontiers in Asset Pricing" with Guest Editors Professor James W. Kolari and Professor Seppo Pynnonen. The book contains papers in various areas related to asset pricing: (1) models; (2) multifactors; (3) theory; (4) empirical tests; (5) applications; (6) other asset classes; and (7) international tests.
Philosophy --- forecasting --- commodity market --- metals --- term structure --- yield spread --- carry cost rate --- hedge ratio --- conditional hedge ratio --- bias adjustments --- earnings --- announcements --- options --- informed trading --- net buying pressure --- volatility --- direction --- at-the-money --- out-of-the-money --- deep-out-of-the-money --- asset pricing --- S&P 500 index --- survivor stocks --- risk factors --- momentum --- Bitcoin --- cryptocurrencies --- outliers --- GARCH-jump --- time-varying jumps --- zero-beta CAPM --- return dispersion --- expectation-maximization (EM) regression --- latent variable --- free-boundary problem --- pairs trading --- stochastic control --- trading strategies --- transaction costs --- transaction regions --- finance --- economics --- event study --- clustered event days --- cross-sectional correlation --- cumulated ranks --- rank test --- standardized abnormal returns --- market index --- market factor --- multifactors --- efficient portfolios --- efficient market hypothesis --- unit root --- spectral analysis --- abnormal returns --- pricing --- market volume --- portfolio profitability --- Poisson model
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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.
academic cheating --- tax evasion --- informality --- pairs trading --- hurst exponent --- financial markets --- long memory --- co-movement --- cointegration --- risk --- delay --- decision-making process --- probability --- discount --- detection --- mean square error --- multicollinearity --- raise regression --- variance inflation factor --- derivation --- intertemporal choice --- decreasing impatience --- elasticity --- GARCH --- EGARCH --- VaR --- historical simulation approach --- peaks-over-threshold --- EVT --- student t-copula --- generalized Pareto distribution --- centered model --- noncentered model --- intercept --- essential multicollinearity --- nonessential multicollinearity --- commodity prices --- futures prices --- number of factors --- eigenvalues --- volatility cluster --- Hurst exponent --- FD4 approach --- volatility series --- probability of volatility cluster --- S& --- P500 --- Bitcoin --- Ethereum --- Ripple --- bitcoin --- deep learning --- deep recurrent convolutional neural networks --- forecasting --- asset pricing --- financial distress prediction --- unconstrained distributed lag model --- multiple periods --- Chinese listed companies --- cash flow management --- corporate prudential risk --- the financial accelerator --- financial distress --- induced risk aversion --- liquidity constraints --- liquidity risk --- macroeconomic propagation --- multiperiod financial management --- non-linear macroeconomic modelling --- Tobin’s q --- precautionary savings --- pharmaceutical industry --- scale economies --- profitability --- biotechnological firms --- non-parametric efficiency --- productivity --- DEA --- dispersion trading --- option arbitrage --- volatility trading --- correlation risk premium --- econometrics --- computational finance --- ensemble empirical mode decomposition (EEMD) --- autoregressive integrated moving average (ARIMA) --- support vector regression (SVR) --- genetic algorithm (GA) --- energy consumption --- cryptocurrency --- gold --- P 500 --- DCC --- copula --- copulas --- Markov Chain Monte Carlo simulation --- local optima vs. local minima --- SRA approach --- foreign direct investment --- bilateral investment treaties --- regional trade agreements --- structural gravity model --- policy uncertainty --- stock prices --- dynamically simulated autoregressive distributed lag (DYS-ARDL) --- threshold regression --- United States
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Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities, bonds, currencies, and derivative securities.
risk assessment --- VIX --- business groups --- SHARE --- asymptotic approximation --- European stock markets --- whole life insurance --- dynamic hedging --- risk-neutral distribution --- cooperative banks --- Data Envelopment Analysis (DEA) --- group-affiliated --- early warning system --- factor models --- smoothing process --- GMC --- falsified products --- S&P 500 index options --- credit derivatives --- corporate sustainability --- term life insurance --- risk management --- crude oil --- financial stability --- social efficiency --- dynamic conditional correlation --- emerging market --- out-of-sample forecast --- financial crisis --- binomial tree --- news release --- green energy --- perceived usefulness --- Bayesian approach --- two-level optimization --- probability of default --- bank risk --- SYMBOL --- information asymmetry --- CoVaR --- probabilistic cash flow --- japonica rice production --- bank profitability --- Monte Carlo Simulations --- gain-loss ratio --- coherent risk measures --- Mezzanine Financing --- national health system --- option value --- conscientiousness --- online purchase intention --- Slovak enterprises --- spot and futures prices --- liquidity premium --- institutional voids --- utility --- random forests --- bankruptcy --- optimizing financial model --- sustainable food security system --- dynamic panel --- co-dependence modelling --- financial performance --- time-varying correlations --- Project Financing --- future health risk --- generalized autoregressive score functions --- volatility spillovers --- financial risks --- simulations --- life insurance --- emotion --- finance risk --- markov regime switching --- diversification --- production frontier function --- Granger causality --- health risk --- risks mitigation --- returns and volatility --- sadness --- low-income country --- the sudden stop of capital inflow --- bank failure --- China’s food policy --- objective health status --- IPO underpricing --- polarity --- climate change --- stock return volatility --- sentiment analysis --- empirical process --- full BEKK --- stochastic frontier model --- perceived ease of use --- volatility transmission --- openness to experience --- sustainability --- low carbon targets --- quasi likelihood ratio (QLR) test --- banking regulation --- sustainable development --- specification testing --- fossil fuels --- time-varying copula function --- tree structures --- monthly CPI data --- coal --- cartel --- regular vine copulas --- sustainability of economic recovery --- ANN --- EGARCH-m --- financial security --- leniency program --- financial hazard map --- uncertainty termination --- causal path --- stakeholder theory --- technological progress --- banking --- investment horizon --- regression model --- two-level CES function --- joy --- the optimal scale of foreign exchange reserve --- carbon emissions --- stochastic volatility --- B-splines --- self-perceived health --- sovereign credit default swap (SCDS) --- RV5MIN --- utility maximization --- credit risk --- policy simulation --- socially responsible investment --- portfolio selection --- scientific verification --- European banking system --- risk-free rate --- wild bootstrap --- medication --- investment profitability --- Amihud’s illiquidity ratio --- multivariate regime-switching --- inflation forecast --- risk aversion --- market timing --- need hierarchy theory --- variance --- diagonal BEKK --- conjugate prior --- risk --- moving averages --- financial risk --- risk measures
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