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Diversification. --- Risk measures. --- Solvency capital requirements. --- Subadditivity. --- Value-at-risk.
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Utility theories. --- Risk measures. --- Coherence. --- Exponential utility. --- Comonotonicity.
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The purpose of this master thesis is to analyze and compare the risk of two different portfolios of currencies through the application of risk measures. One portfolio is composed of 5 currencies of emerging countries and the other one is composed of 5 currencies of developed countries. The Extreme Value Theory is applied on the two portfolios using two methods: the Block Maxima Method and the Peak-Over-Threshold method.
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At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of computational techniques in finance and economics. Examined topics span on issues at the center of the literature debate, with an eye not only on technical and theoretical aspects but also very practical cases.
growth optimal portfolio --- Wishart model --- conditional Value-at-Risk (CoVaR) --- systemic risk --- utility functions --- current drawdown --- risk measure --- risk-based portfolios --- capital market pricing model --- systemic risk measures --- Big Data --- International Financial Reporting Standard 9 --- cartography --- stock prices --- copula models --- CoVaR --- quantitative risk management --- auto-regressive --- fractional Kelly allocation --- independence assumption --- deep learning --- structural models --- financial regulation --- data science --- efficient frontier --- weighted logistic regression --- estimation error --- financial markets --- capital allocation --- multi-step ahead forecasts --- target matrix --- value at risk --- random matrices --- credit risk --- portfolio theory --- convex programming --- admissible convex risk measures --- non-stationarity --- financial mathematics --- quantile regression --- Markowitz portfolio theory --- shrinkage --- loss given default --- ordered probit
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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.
insurance --- Solvency II --- risk-neutral models --- computational finance --- asset pricing models --- overnight price gaps --- financial econometrics --- mean-reversion --- statistical arbitrage --- high-frequency data --- jump-diffusion model --- instantaneous volatility --- directional-change --- seasonality --- forex --- bitcoin --- S& --- P500 --- risk management --- drawdown --- safe assets --- securitisation --- dealer behaviour --- liquidity --- bid–ask spread --- least-squares Monte Carlo --- put-call symmetry --- regression --- simulation --- algorithmic trading --- market quality --- defined contribution plan --- probability of shortfall --- quadratic shortfall --- dynamic asset allocation --- resampled backtests --- stochastic covariance --- 4/2 model --- option pricing --- risk measures --- American options --- exercise boundary --- Monte Carlo --- multiple exercise options --- dynamic programming --- stochastic optimal control --- asset pricing --- calibration --- derivatives --- hedging --- multivariate models --- volatility
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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.
Economics, finance, business & management --- insurance --- Solvency II --- risk-neutral models --- computational finance --- asset pricing models --- overnight price gaps --- financial econometrics --- mean-reversion --- statistical arbitrage --- high-frequency data --- jump-diffusion model --- instantaneous volatility --- directional-change --- seasonality --- forex --- bitcoin --- S& --- P500 --- risk management --- drawdown --- safe assets --- securitisation --- dealer behaviour --- liquidity --- bid–ask spread --- least-squares Monte Carlo --- put-call symmetry --- regression --- simulation --- algorithmic trading --- market quality --- defined contribution plan --- probability of shortfall --- quadratic shortfall --- dynamic asset allocation --- resampled backtests --- stochastic covariance --- 4/2 model --- option pricing --- risk measures --- American options --- exercise boundary --- Monte Carlo --- multiple exercise options --- dynamic programming --- stochastic optimal control --- asset pricing --- calibration --- derivatives --- hedging --- multivariate models --- volatility
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Developing techniques for assessing various risks and calculating probabilities of ruin and survival are exciting topics for mathematically-inclined academics. For practicing actuaries and financial engineers, the resulting insights have provided enormous opportunities but also created serious challenges to overcome, thus facilitating closer cooperation between industries and academic institutions. In this book, several renown researchers with extensive interdisciplinary research experiences share their thoughts that, in one way or another, contribute to the betterment of practice and theory of decision making under uncertainty. Behavioral, cultural, mathematical, and statistical aspects of risk assessment and modelling have been explored, and have been often illustrated using real and simulated data. Topics range from financial and insurance risks to security-type risks, from one-dimensional to multi- and even infinite-dimensional risks.
insurance --- n/a --- multiplicative background risk model --- renewal process --- dual risk model --- collective risk model --- risk measure --- aggregate risk --- Laplace transform --- transfer function --- risk management --- risk theory --- maximal tail dependence --- constant interest rate --- partial integro-differential equation --- reinsurance --- financial time series --- spatial risk measures and corresponding axiomatic approach --- central limit theorem --- integral equation --- Markovian arrival process --- systematic risk --- information processing --- discounted aggregate claims --- surplus process --- weighted cuts --- rate of spatial diversification --- national culture --- operational risk --- covariance --- cumulative Parisian ruin --- spatial dependence --- background risk --- survival analysis --- Monte Carlo --- aggregate discounted claims --- stochastic orders --- order statistic --- max-stable random fields --- copulas --- hazard model --- multivariate gamma distribution --- copula --- advanced measurement approach --- concomitant --- archimedean copulas --- rating migrations --- ruin probability --- clustering --- confidence interval --- individual risk model --- numerical approximation --- value-at-risk
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The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.
stochastic dominance --- Omega ratio --- risk averters --- risk seekers --- utility maximization --- market efficiency --- anomaly --- emerging markets --- KSE Pakistan --- three-factor model --- size and value premiums --- future economic growth --- liquidity proxy --- emerging market --- transaction cost --- price impact --- efficient market --- economic policy uncertainty --- random walk --- news --- Asian market --- G7 market --- real exchange rate --- volatility --- financial development --- economic growth --- Put–Call Ratio --- volume --- open interest --- frequency-domain roiling causality --- convertible bond --- financial constraints --- stock performance --- Autoregressive Model --- non-Gaussian error --- realized volatility --- Threshold Autoregressive Model --- value premium --- technical analysis --- moving average --- China stock market --- stock market --- finance --- applications --- EMH --- anomalies --- Behavioral Finance --- Winner–Loser Effect --- Momentum Effect --- calendar anomalies --- BM effect --- the size effect --- Disposition Effect --- Equity Premium Puzzle --- herd effect --- ostrich effect --- bubbles --- trading rules --- overconfidence --- utility --- portfolio selection --- portfolio optimization --- risk measures --- performance measures --- indifference curves --- two-moment decision models --- dynamic models --- diversification --- behavioral models --- unit root --- cointegration --- causality --- nonlinearity --- covariance --- copulas --- robust estimation --- anchoring
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The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.
Development economics & emerging economies --- stochastic dominance --- Omega ratio --- risk averters --- risk seekers --- utility maximization --- market efficiency --- anomaly --- emerging markets --- KSE Pakistan --- three-factor model --- size and value premiums --- future economic growth --- liquidity proxy --- emerging market --- transaction cost --- price impact --- efficient market --- economic policy uncertainty --- random walk --- news --- Asian market --- G7 market --- real exchange rate --- volatility --- financial development --- economic growth --- Put–Call Ratio --- volume --- open interest --- frequency-domain roiling causality --- convertible bond --- financial constraints --- stock performance --- Autoregressive Model --- non-Gaussian error --- realized volatility --- Threshold Autoregressive Model --- value premium --- technical analysis --- moving average --- China stock market --- stock market --- finance --- applications --- EMH --- anomalies --- Behavioral Finance --- Winner–Loser Effect --- Momentum Effect --- calendar anomalies --- BM effect --- the size effect --- Disposition Effect --- Equity Premium Puzzle --- herd effect --- ostrich effect --- bubbles --- trading rules --- overconfidence --- utility --- portfolio selection --- portfolio optimization --- risk measures --- performance measures --- indifference curves --- two-moment decision models --- dynamic models --- diversification --- behavioral models --- unit root --- cointegration --- causality --- nonlinearity --- covariance --- copulas --- robust estimation --- anchoring
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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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