Efficient Market Hypothesis (EMH) suggests that stock prices reflect all available information at any given time, making it nearly impossible to consistently achieve higher returns than the overall market without assuming additional risk.
Behavioral finance studies reveal that traders often make irrational decisions due to cognitive biases, such as overconfidence or loss aversion, which can lead to systematic market inefficiencies.
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The "January Effect" is a phenomenon where stock prices tend to rise in January more than in other months, attributed to year-end tax considerations and the reinvestment of bonuses.
High-frequency trading (HFT) leverages complex algorithms to execute trades in fractions of a second, capitalizing on minute price discrepancies that would be undetectable by human traders.
Diversification is a risk management strategy that involves spreading investments across various assets to reduce exposure to any single asset's volatility; this is supported by Modern Portfolio Theory which quantifies the benefits of diversification.
The concept of "alpha" in trading refers to the excess return on an investment relative to the return of a benchmark index, with a positive alpha indicating outperformance and a negative alpha indicating underperformance.
Stop-loss orders are used to limit potential losses by automatically selling a security when it reaches a certain price, helping traders manage risk without needing constant market monitoring.
Technical analysis relies on historical price and volume data to forecast future price movements, employing chart patterns and indicators, while fundamental analysis evaluates a company's financial health and market position.
The "bid-ask spread" is the difference between the price a buyer is willing to pay and the price a seller is asking, which represents the liquidity of an asset; tighter spreads typically indicate higher liquidity.
Dark pools are private exchanges where securities are traded away from the public eye, allowing institutional investors to buy or sell large quantities without impacting the market price significantly.
Algorithmic trading utilizes computer programs to automate trading decisions based on pre-defined criteria, which can lead to greater efficiency but may also introduce systemic risks if mismanaged.
The Sharpe Ratio measures risk-adjusted return, calculated by taking the difference between the return of an investment and the risk-free rate, divided by the investment's standard deviation; a higher ratio indicates better risk-adjusted performance.
Market sentiment, often gauged through surveys or sentiment indicators, can significantly influence market trends; extreme bullish or bearish sentiment can lead to reversals or accelerate price movements.
The Pareto Principle, or the 80/20 rule, applies to trading in that approximately 80% of profits often come from 20% of trades; focusing on high-conviction opportunities can yield better results.
A "margin call" occurs when an investor's account value falls below the required level, prompting the broker to demand additional funds or the liquidation of assets to cover the deficit.
The "fiscal year" for companies can affect trading strategies, as earnings reports released quarterly can lead to increased volatility, particularly if results deviate from market expectations.
Quantitative easing (QE) is a monetary policy used by central banks to stimulate the economy by purchasing government securities; this can influence market liquidity and asset prices significantly.
The "VIX index," often referred to as the fear index, measures market volatility and investor sentiment; a rising VIX typically indicates increased uncertainty and potential market downturns.
Co-integration is a statistical property that allows traders to identify pairs of securities that move together over time, providing opportunities for arbitrage when their prices diverge.
The concept of "risk parity" seeks to allocate investments based on risk rather than capital, aiming to balance risk across various asset classes to achieve more stable returns in fluctuating market conditions.