CFA Level 2 Quantitative Methods Time Analysis | Class 1

Time Series Analysis may look like one of the toughest topics in CFA Level 2 Quantitative Methods—but once you start applying the concepts through questions, it becomes much easier to understand. In Class 1, Sanjay Saraf Sir builds the foundation of Time Series Analysis and explains how financial and economic variables behave across time. In this class, you will learn: ✅ Cross-sectional data vs time-series data ✅ Single-variable vs multivariable time series ✅ Deterministic trends ✅ Linear and log-linear trends ✅ Mean reversion and autoregressive models ✅ Stochastic trends and random walks ✅ White noise, seasonality and persistence ✅ Introduction to ARCH, GARCH, ARMA and ARIMA models ✅ How time-series concepts are applied to inflation, interest rates, GDP, sales and stock prices This session focuses on building strong conceptual clarity while keeping the discussion relevant to the CFA Level 2 exam. The new chapter has just begun—join now, catch up quickly, and stay on track! 🔗 Enroll Now- 📞 For queries or admissions, connect with our counsellors: Or, click the link to chat with us: