Behavioral Finance
Expert-defined terms from the Professional Certificate in Investments for Teens course at London School of Planning and Management. Free to read, free to share, paired with a professional course.
Accrual Anomaly #
Accrual anomaly is a phenomenon in which companies with high accruals (non-cash expenses) in their financial statements tend to underperform those with low accruals in future stock returns. This anomaly questions the reliability of traditional accounting-based measures and highlights the importance of understanding the quality of earnings.
Alpha #
Alpha is a measure of a portfolio or investment manager's ability to generate excess returns relative to a benchmark or risk-free rate, after accounting for market-related risks. A positive alpha indicates outperformance, while a negative alpha indicates underperformance.
Anchoring #
Anchoring is a cognitive bias in which investors rely too heavily on the first piece of information (the "anchor") they receive when making decisions, even if subsequent information contradicts the initial anchor. This can lead to poor investment decisions and missed opportunities.
Behavioral Finance #
Behavioral finance is a field of study that combines insights from psychology and economics to understand how investors' emotions, cognitive biases, and social factors influence financial decision-making. This discipline challenges the traditional assumption of rational investors and offers a more realistic perspective on market behavior.
Behavioral Portfolio Theory (BPT) #
Behavioral Portfolio Theory (BPT) is an extension of Modern Portfolio Theory (MPT) that incorporates investor preferences, cognitive biases, and emotions to better explain and predict investment decisions. BPT acknowledges that investors may not always act rationally and seeks to account for these behavioral factors in portfolio construction and management.
Benchmark #
A benchmark is a standard or reference point against which the performance of an investment or portfolio can be compared. Common benchmarks include market indices, sector indices, or peer group averages.
Beta #
Beta is a measure of a portfolio or investment's sensitivity to market movements. A beta of 1 indicates that the investment's price will move in tandem with the market, while a beta greater than 1 implies higher volatility and a beta less than 1 implies lower volatility.
Cognitive Bias #
Cognitive biases are systematic errors in thinking and decision-making that can negatively impact investment performance. Examples include anchoring, overconfidence, herding, and loss aversion.
Confirmation Bias #
Confirmation bias is the tendency to seek out and give greater weight to information that confirms our existing beliefs, while disregarding or downplaying information that contradicts them. This bias can lead to poor investment decisions and missed opportunities.
Contrarian Investing #
Contrarian investing is a strategy that involves deliberately going against the prevailing market sentiment or trends, often by buying underpriced assets or shorting overpriced ones. Contrarian investors believe that market crowds can sometimes be irrational and that mean reversion will eventually occur.
Correlation #
Correlation is a statistical measure that describes the degree to which two variables move in relation to each other. Positive correlation indicates that the variables move in the same direction, while negative correlation indicates that they move in opposite directions.
Diversification #
Diversification is an investment strategy that involves spreading risk across various asset classes, sectors, or securities to reduce the impact of any single investment's underperformance on the overall portfolio. Diversification can help minimize unsystematic risk and improve risk-adjusted returns.
Efficient Market Hypothesis (EMH) #
The Efficient Market Hypothesis (EMH) states that financial markets are informationally efficient, meaning that all publicly available information is immediately reflected in asset prices, making it impossible for investors to consistently outperform the market.
Fama #
French Three-Factor Model: The Fama-French Three-Factor Model is an extension of the Capital Asset Pricing Model (CAPM) that incorporates size and value factors in addition to market risk. This model suggests that small-cap and value stocks have historically outperformed the market, even after accounting for their higher risks.
Fear of Missing Out (FOMO) #
Fear of Missing Out (FOMO) is a psychological phenomenon in which individuals experience anxiety or apprehension about missing out on a potentially profitable investment or opportunity. This fear can lead to impulsive decision-making and poor investment choices.
Herding #
Herding is a behavioral finance concept that describes the tendency for investors to follow the crowd and mimic the actions of others, often leading to market bubbles or crashes. Herding can result from social pressure, information cascades, or a lack of confidence in one's own judgment.
Hindsight Bias #
Hindsight bias is the tendency to believe, after an event has occurred, that one would have predicted or expected the outcome. This bias can lead to overconfidence and poor decision-making, as investors may incorrectly assume that they can accurately forecast future events.
Home Bias #
Home bias is the tendency for investors to overweight domestic investments in their portfolios, often due to familiarity, comfort, or perceived lower risk. Home bias can result in missed opportunities and suboptimal portfolio performance.
Loss Aversion #
Loss aversion is a behavioral finance concept that describes the tendency for investors to feel the pain of losses more acutely than the pleasure of gains. This bias can lead to risk-averse behavior, as investors may hold on to losing investments too long in hopes of breaking even and avoid realizing losses.
Mental Accounting #
Mental accounting is a cognitive bias that involves treating different sums of money differently based on their perceived source, use, or outcome. This bias can lead to suboptimal decision-making, as investors may become overly conservative with "mental" accounts associated with gains or overly risky with those associated with losses.
Modern Portfolio Theory (MPT) #
Modern Portfolio Theory (MPT) is a portfolio management framework that seeks to optimize risk-adjusted returns by considering the correlation between assets and the risk-reward tradeoff. MPT posits that diversification can help investors achieve higher returns for a given level of risk or lower risk for a given level of return.
Overconfidence #
Overconfidence is a cognitive bias that involves having an unrealistically high level of confidence in one's abilities, judgment, or forecasts. Overconfident investors may take on excessive risk, trade too frequently, or underestimate the uncertainty of future events, leading to poor investment decisions.
Prospect Theory #
Prospect theory is a behavioral finance concept that describes how individuals evaluate potential gains and losses relative to a reference point, rather than in absolute terms. This theory suggests that people are more sensitive to losses than to equivalent gains, leading to risk-averse behavior when it comes to gains and risk-seeking behavior when it comes to losses.
Random Walk Hypothesis #
The Random Walk Hypothesis states that stock prices move randomly and are not predictable based on past trends or patterns. This hypothesis challenges the idea that investors can consistently outperform the market through technical analysis or other forecasting methods.
Recency Bias #
Recency bias is the tendency to give greater weight to recent events or information when making decisions, often at the expense of longer-term trends or data. This bias can lead to poor investment decisions, as investors may become overly optimistic or pessimistic based on short-term market fluctuations.
Risk #
Risk is the potential for adverse consequences or losses in an investment. Risk can be quantified using statistical measures such as standard deviation or value at risk, and can be managed through diversification, hedging, and other risk management strategies.
Sample Bias #
Sample bias is a statistical issue that arises when the data used to make inferences or predictions is not representative of the population being studied. Sample bias can lead to inaccurate conclusions and poor investment decisions.
Sector #
A sector is a group of companies that operate in the same industry or business segment. Sectors can be classified using various schemes, such as the Global Industry Classification Standard (GICS) or the Industry Classification Benchmark (ICB).
Standard Deviation #
Standard deviation