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When an investor believes a stock is overvalued and will soon drop in price, he might decide to "short" it. First, he borrows an amount of the stock, and then sells it. He waits for the stock to tank before buying back the same amount of shares at a deflated price. After returning the shares to his lender, he pockets the difference-unless any one of several hard-to-predict variables interferes, and the stock fails to drop. Since these variables are so hard to predict, short selling is difficult for even seasoned investors. It takes great talent and experience to isolate the best short ideas for falling stocks-skills Amit Kumar developed and honed over decades of market analysis and trading. This book shares his short-selling framework, built on themes common to falling stocks and the market's endemic strengths and cycles. Featuring key case studies and exclusive interviews with successful fund managers Bill Ackman (Pershing Square Capital Management) and Mark Roberts (Off Wall Street Consulting Group), Kumar shows investors how to avoid traps and profit from well-researched short ideas. Investors may not always act on short ideas, but they can avoid losses by using Kumar's framework to identify overvalued stocks. Professionals and amateur investors alike will benefit from this fundamental research approach, which transforms short selling into a long-term strategy.

Short selling (Securities) --- Stocks --- Investments. --- Investing --- Investment management --- Portfolio --- Finance --- Disinvestment --- Loans --- Saving and investment --- Speculation --- Stock prices --- Stockholder wealth --- Going short (Short selling) --- Selling short (Securities) --- Short sales (Securities) --- Short selling --- Shorting (Short selling) --- Hedging (Finance) --- Prices.

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Because the actions of multinational corporations have a clear and direct effect on the flow of capital throughout the world, how and why these firms behave the way they do is a major issue for national governments and their policymakers. With an unprecedented ability to adjust the scale, character, and location of their global operations, international corporations have become increasingly sensitive to the kind and degree of tax obligations imposed on them by both host and home countries. Tax rules affect the volume of foreign direct investment, corporate borrowing, transfer pricing, dividend and royalty payments, and research and development. National governments that tax the profits of international firms face important challenges in designing tax policies to attract them. This collection examines the global ramifications of tax policies, offering up-to-date, theoretically innovative, and empirically sound perspectives on a problem of immense significance to future economic growth around the globe.

Investments, Foreign --- Taxation --- 336.2 --- -Capital exports --- Capital imports --- FDI (Foreign direct investment) --- Foreign direct investment --- Foreign investment --- Foreign investments --- International investment --- Offshore investments --- Outward investments --- Capital movements --- Investments --- Belastingsakkoorden. Belastingswezen --- -Belastingsakkoorden. Belastingswezen --- Investments, Foreign. --- Taxation. --- 336.2 Belastingen. Belastingswezen. Openbare financien. Belastingspolitiek. Belastingstheorie. Belastingsharmonisatie. Fiskale politiek. Belastingsleer. Belastingsdruk. Belastingstechniek. Belastingsstelsel.Belastingstarief --- 336.2 Belastingsakkoorden. Belastingswezen --- Belastingen. Belastingswezen. Openbare financien. Belastingspolitiek. Belastingstheorie. Belastingsharmonisatie. Fiskale politiek. Belastingsleer. Belastingsdruk. Belastingstechniek. Belastingsstelsel.Belastingstarief --- Capital exports --- E-books --- Investments, Foreign - Taxation --- taxes, tax, global, corporate, corporation, academic, scholarly, research, capital, money, financial, finance, economy, economics, economic, currency, wealth, income, national, government, policy, policymaker, taxation, pricing, borrowing, debt, foreign, investment, price, policies, developing, country, trade, stock, prices, multinational.

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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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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&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