Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In this paper we assess the implications of precautionary savings for global imbalances by considering a world economy model composed by the US, the Euro Area, Japan, China, oil-exporting countries, and the rest of the world. These areas are assumed to differ only with respect to GDP volatility which is calibrated based on the 1980-2008 period. The model predicts a wide dispersion in net foreign asset positions, with the highly volatile oil-exporting countries accumulating very large asset holdings. While heterogeneity in GDP volatility may lead to large imbalances in international investment positions, its impact on current accounts is much weaker. This is because countries are expected to move towards their optimal NFA at a very slow pace.

Saving and investment --- Gross domestic product --- Balance of payments --- Current account balance (International trade) --- International payments, Balance of --- Foreign exchange --- Terms of trade --- Balance of trade --- International liquidity --- Domestic product, Gross --- GDP --- Gross national product --- Accumulation, Capital --- Capital accumulation --- Capital formation --- Investment and saving --- Saving and thrift --- Capital --- Supply-side economics --- Wealth --- Investments --- Econometric models. --- Exports and Imports --- Macroeconomics --- Current Account Adjustment --- Short-term Capital Movements --- Open Economy Macroeconomics --- Macroeconomics: Consumption --- Saving --- International Investment --- Long-term Capital Movements --- International economics --- Current account --- Current account surpluses --- Current account imbalances --- Precautionary savings --- Foreign assets --- Investments, Foreign --- United States

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Selected Issues paper estimates the optimal allocation of government current spending, precautionary saving, and investment for Kuwait under uncertainty. The results show that in the face of high oil income volatility and the expected decline in oil prices, projected current spending exceeds the optimal amount over the medium term (2013–2018). However, there is room to increase investment spending, which should contribute to the growth of the tradable sector, as the projected investment rate is lower than the optimal investment rate of 20 percent of government income.

Kuwait --- Koweit --- Kuwayt --- Kuvayt --- Kuveĭt --- Dowlat al Kuwait --- Dawlat al-Kuwayt --- State of Kuwait --- Economic conditions. --- Economic policy. --- Banks and Banking --- Investments: Energy --- Exports and Imports --- Labor --- Macroeconomics --- Finance: General --- Aggregate Factor Income Distribution --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Macroeconomics: Consumption --- Saving --- Wealth --- Energy: Demand and Supply --- Prices --- Energy: General --- Financial Institutions and Services: Government Policy and Regulation --- Banking --- Labour --- income economics --- Investment & securities --- Financial services law & regulation --- Finance --- Income --- Oil prices --- Consumption --- Precautionary savings --- National accounts --- Capital adequacy requirements --- Financial regulation and supervision --- Commercial banks --- Financial institutions --- Banks and banking --- Economics --- Saving and investment --- Asset requirements

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Written by one of the leading experts in the field, this book focuses on the interplay between model specification, data collection, and econometric testing of dynamic asset pricing models. The first several chapters provide an in-depth treatment of the econometric methods used in analyzing financial time-series models. The remainder explores the goodness-of-fit of preference-based and no-arbitrage models of equity returns and the term structure of interest rates; equity and fixed-income derivatives prices; and the prices of defaultable securities. Singleton addresses the restrictions on t

Capital assets pricing model. --- Pricing --- Econometric models. --- Arbitrage. --- Asymptotic distribution. --- Autocorrelation. --- Autocovariance. --- Autoregressive conditional heteroskedasticity. --- Bayesian inference. --- Bayesian probability. --- Bond Yield. --- Capital asset pricing model. --- Central limit theorem. --- Collateral Value. --- Conditional expectation. --- Conditional probability distribution. --- Conditional variance. --- Consistent estimator. --- Correlation and dependence. --- Covariance function. --- Covariance matrix. --- Credit risk. --- Credit spread (options). --- Discount function. --- Discrete time and continuous time. --- Doubly stochastic model. --- Dynamic pricing. --- Econometric model. --- Economic equilibrium. --- Economics. --- Equity premium puzzle. --- Ergodic process. --- Estimation theory. --- Estimation. --- Estimator. --- Expectations hypothesis. --- Expected value. --- Forecasting. --- Forward price. --- Forward rate. --- General equilibrium theory. --- Generalized method of moments. --- High-yield debt. --- Inference. --- Interest rate risk. --- Interest rate. --- Investment Horizon. --- Investment strategy. --- Investor. --- Joint probability distribution. --- LIBOR market model. --- Leverage (finance). --- Likelihood function. --- Liquidity premium. --- Liquidity risk. --- Margin (finance). --- Marginal rate of substitution. --- Marginal utility. --- Market Risk Premium. --- Market capitalization. --- Market liquidity. --- Market portfolio. --- Market price. --- Market value. --- Markov model. --- Markov process. --- Mathematical finance. --- Monetary policy. --- Objective Probability. --- Option (finance). --- Parameter. --- Partial equilibrium. --- Portfolio insurance. --- Precautionary savings. --- Predictability. --- Preference (economics). --- Present value. --- Price index. --- Pricing. --- Principal component analysis. --- Probability. --- Real interest rate. --- Repurchase agreement. --- Revaluation of fixed assets. --- Risk aversion. --- Risk management. --- Risk premium. --- Skewness. --- Special case. --- Standard deviation. --- State variable. --- Statistic. --- Stochastic differential equation. --- Stochastic volatility. --- Supply (economics). --- Time series. --- Underlying Security. --- Utility maximization problem. --- Utility. --- Variable (mathematics). --- Vector autoregression. --- Yield curve. --- Yield spread.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Coins, banknotes, medals, seals (numismatics) --- 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&amp --- 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 --- 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&amp --- 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