The process of testing a trading strategy or model using historical data to estimate its future performance.
Candlestick Charting is a versatile and essential method used in technical analysis to represent the open, high, low, and close prices of an asset within a particular timeframe. This guide provides an in-depth look into its types, history, applications, and significance in trading.
The practice of predicting future customer demand using historical data and market analysis.
Ex Post refers to the assessment of outcomes after the events have occurred. Contrasted with Ex Ante, it focuses on what actually happened.
Lagging measures are performance indicators that reflect outcomes and results achieved in the past, used in frameworks like the balanced scorecard to assess the effectiveness of organizational strategies.
Realized volatility refers to the actual volatility observed over a specific period. It is an important measure used in finance to understand the movement and risk of an asset based on historical data.
Traditional Budgeting: A conventional method where budgets are based on historical data and adjusted incrementally.
Ibbotson & Associates, known for providing extensive historical data on financial investments, publishes the annual Stocks, Bonds, Bills & Inflation (SBBI) Yearbook, widely used by investors and analysts.
Detailed annual publication by Ibbotson & Associates providing comprehensive historical data and analysis on stocks, bonds, bills, and inflation.
An in-depth exploration of Time Series Analysis, its principles, methods, and applications in fields such as Economics, Finance, and Statistics.
Explore the definition of backtesting, its mechanisms, and potential limitations in the scope of trading strategies and market analysis.
A comprehensive guide to forecasting, its methodologies, and its significant role in business and investing. Learn how historical data informs future trend predictions.
An in-depth exploration of technical analysis principles, methodologies, and applications in forecasting stock market trends using historical price and volume data.
