The study of statistical methods applied to financial data, aiding in analysis and decision-making.

A statistical technique to analyze time-ordered data points, useful for forecasting future trends.

The process of identifying and analyzing potential risks that could negatively impact financial outcomes.

The practice of predicting future financial trends based on historical data and statistical methods.

Creating representations of a financial situation to predict future performance, often using spreadsheets.

A popular time series forecasting method that combines autoregression, differencing, and moving averages.

A risk management tool that estimates the potential loss in value of a portfolio over a defined period.

Simulating extreme market conditions to evaluate the resilience of financial models and strategies.

A process to evaluate the impact of different scenarios on financial outcomes, aiding in risk management.

The graphical representation of data to identify trends and patterns, enhancing communication of insights.

A statistical method to determine if there is enough evidence to support a specific hypothesis.

The process of ensuring that a financial model accurately predicts outcomes based on historical data.

Methods used to break down time series data into trend, seasonal, and residual components.

Effectively conveying complex statistical findings to stakeholders, ensuring clarity and understanding.

Using statistical algorithms and machine learning techniques to identify future outcomes based on historical data.

Methods to adjust data to a common scale, improving comparability and analysis.

The process of recognizing potential risks that could affect financial performance.

Data not used during the model training phase, utilized to validate the model's predictive accuracy.

Quantitative measures used to assess the effectiveness of a financial model.

Well-structured documents that present financial analysis and insights in an engaging and clear manner.

The practice of using data visualization and narrative techniques to communicate insights effectively.

The process of defining project scope and objectives, crucial for successful financial model development.

The iterative process of improving a financial model based on performance feedback and validation results.

Patterns that repeat at regular intervals in time series data, important for accurate forecasting.

The way in which data values are spread or arranged, influencing statistical analysis outcomes.