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Asset pricing, investment, and trading strategies are very important in finance. They are useful in various situations, for example, supporting the decision-making process of choosing investments; determining the asset-specific required rate of return on the investment; pricing derivatives for trading or hedging; getting portfolios from fixed incomes or bonds, stocks, and other assets; evaluating diverse portfolios; determining macroeconomic variables affecting market prices; calculating option prices; and incorporating features such as mean reversion and volatility, etc. They can also be applied in financial forecast for assets, portfolios, business projects.Understanding, modeling, and using various asset pricing models, investment models, and models for different trading strategies is paramount in many different areas of finance and investment, including banking, stocks, bonds, currencies, and related financial derivatives. Different asset pricing models, investment models, and models for different trading strategies also allow us to compare the performances of different variables through the analysis of empirical real-world data.This Special Issue on "Asset Pricing, Investment, and Trading Strategies” will be devoted to advancements in the theoretical development of various asset pricing models, investment models, and models for different trading strategies as well as to their applications.The Special Issue will encompass innovative theoretical developments, challenging and exciting practical applications, and interesting case studies in the development and analysis of various asset pricing models, investment models, and models for different trading strategies in finance and cognate disciplines.
quantile --- correlogram --- dependence --- predictability --- market efficiency --- state ownership --- risk-taking behavior --- investment --- Vietnam --- GMM --- nonlinearity --- trading strategy --- trade-offs --- transport operations --- competitiveness --- sustainability --- growth --- ARDL --- stock exchange --- capitalization --- turnover --- value traded --- agricultural commodity future prices --- extreme value --- NON-stationary Extreme Value Analysis (NEVA) --- Newton-optimal method --- high-frequency data --- market liquidity --- sovereign bonds --- spillover --- backwardation --- economic regimes --- momentum strategy --- systematic trading --- jumps identification --- swap variance --- integrated volatility --- realized volatility
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"Half of all Americans have money in the stock market, yet economists can’t agree on whether investors and markets are rational and efficient, as modern financial theory assumes, or irrational and inefficient, as behavioral economists believe. The debate is one of the biggest in economics, and the value or futility of investment management and financial regulation hangs on the answer. In this groundbreaking book, Andrew Lo transforms the debate with a powerful new framework in which rationality and irrationality coexist—the Adaptive Markets Hypothesis. Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency is incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo’s new paradigm explains how financial evolution shapes behavior and markets at the speed of thought—a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation. An ambitious new answer to fundamental questions about economics and investing, Adaptive Markets is essential reading for anyone who wants to understand how markets really work." -- Publisher's description.
Investments --- Stock exchanges. --- Efficient market theory. --- Psychological aspects. --- Market theory, Efficient --- Capital market --- Stock exchanges --- Bulls and bears --- Commercial corners --- Corners, Commercial --- Equity markets --- Exchanges, Securities --- Exchanges, Stock --- Securities exchanges --- Stock-exchange --- Stock markets --- Efficient market theory --- Speculation --- Adaptive market hypothesis. --- Arbitrage. --- Asset. --- Bank run. --- Bank. --- Behavior. --- Behavioral economics. --- Biology. --- Broker-dealer. --- Calculation. --- Career. --- Central bank. --- Competition. --- Cryptocurrency. --- Currency. --- Customer. --- Debt. --- Decision-making. --- Economics. --- Economist. --- Ecosystem. --- Efficient-market hypothesis. --- Employment. --- Entrepreneurship. --- Equity Market. --- Evolution. --- Finance. --- Financial crisis of 2007–08. --- Financial crisis. --- Financial economics. --- Financial innovation. --- Financial institution. --- Financial services. --- Financial technology. --- Forecasting. --- Fraud. --- Funding. --- Hedge Fund Manager. --- Hedge fund. --- Heuristic. --- Homo economicus. --- Human behavior. --- Incentive. --- Income. --- Insider. --- Insurance. --- Interest rate. --- Investment strategy. --- Investment. --- Investor. --- Leverage (finance). --- Macroeconomics. --- Margin (finance). --- Market (economics). --- Market Dynamics. --- Market liquidity. --- Market maker. --- Market price. --- Market trend. --- Myron Scholes. --- Narrative. --- Paul Samuelson. --- Ponzi scheme. --- Portfolio manager. --- Prediction. --- Prefrontal cortex. --- Probability matching. --- Probability. --- Psychology. --- Random walk hypothesis. --- Rational expectations. --- Rationality. --- Result. --- Risk aversion. --- Risk management. --- S&P 500 Index. --- Salary. --- Saving. --- Scientist. --- Share price. --- Sociobiology. --- Speculation. --- Stock market crash. --- Stock market. --- Supply (economics). --- Systemic risk. --- Technology. --- The Wisdom of Crowds. --- Theory. --- Thought experiment. --- Thought. --- Time series. --- Trade-off. --- Trader (finance). --- Trading strategy. --- Uncertainty. --- Venture capital. --- Warren Buffett. --- Wealth. --- Year.
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