List and explain the modern methods of forecasting EPS.

Forecasting earnings per share (EPS) is a crucial aspect of financial analysis, aiding investors, analysts, and companies in making informed decisions. Modern methods of forecasting EPS encompass a range of quantitative techniques and qualitative considerations, each with its strengths and limitations. Here, I'll outline some prominent modern methods:

1. Time Series Analysis: Time series analysis involves examining historical EPS data to identify patterns, trends, and seasonality. Techniques like moving averages, exponential smoothing, and autoregressive integrated moving average (ARIMA) models are commonly used. ARIMA models, for instance, account for trends and seasonal variations in EPS over time, providing a basis for future predictions.

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