Category: Free Reading
-
Statistical Concept:Confidence Intervals
Introduction A Confidence Interval (CI) is a range of values that we believe, with a certain level of confidence, includes the true value of a parameter (like the average or proportion) in a population. Confidence intervals are commonly used in statistics because they help us understand the accuracy of our estimates. Key Components of Confidence…
-
Time Series Analysis: Stationarity and Non-Stationarity
Introduction Time Series Analysis is a statistical method used to analyze data points collected or recorded at specific time intervals over a period. It’s widely used in various fields, like finance, weather forecasting, stock market analysis, and more, to identify patterns, trends, and seasonality in data. Two fundamental concepts in time series analysis are stationarity…
-
Time Series Analysis: ARIMA Models
Introduction Time Series Analysis is a method for analyzing data that is collected over time. When you observe something over regular intervals (like daily temperature, monthly stock prices, or quarterly sales), you’re looking at a “time series.” It helps in making predictions about future values based on historical patterns. One popular technique in time series…
-
Time Series Analysis and Forecasting: A Detailed Explanation
What is Time Series Analysis? Time series analysis is a technique used to study a sequence of data points collected or recorded over time. These data points are gathered at successive, equally spaced points in time (like daily, monthly, or yearly), capturing how something changes over a period. By analyzing these patterns, we can gain…
-
Econometric Methods:Linear Regression
Introduction Econometric methods are a set of statistical tools used in economics to analyze data and uncover relationships between different economic variables. One of the most popular and fundamental econometric methods is linear regression. Linear regression helps us understand and predict how one variable (known as the dependent or response variable) changes in response to…
-
Econometric Methods: Panel Data Analysis
Introduction Econometric methods using Panel Data Analysis involve techniques to analyze datasets that combine both cross-sectional and time-series data. This approach is incredibly useful in economics, social sciences, and finance, where we often want to understand how certain variables behave over time across multiple entities like individuals, firms, or countries. What is Panel Data? Panel…
-
Financial Econometrics: Understanding Arbitrage Pricing Theory (APT)
Introduction Arbitrage Pricing Theory, commonly known as APT, is an influential financial theory developed by economist Stephen Ross in the 1970s. It serves as a framework for understanding and predicting asset returns in financial markets by connecting them to various economic factors. Unlike the Capital Asset Pricing Model (CAPM), which only considers one factor (market…