4 -2 0 2 0 AR(1) Model, p = 0.5 GANAN KARLAAAANA 200 400 Time 600...

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4 -2 0 2 0 AR(1) Model, p = 0.5 GANAN KARLAAAANA 200 400 Time 600 800 1000 Describe in detail the three (3) characteristics of time-series data. Given the graph of an AR(1) process shown above, describe how the AR(1) model captures these characteristics. Consider the Capital Asset Pricing Model (CAPM) discussed in class. In this financial framework, what do the a and of CAPM measure? Describe how you might try to forecast equity returns and the challenges associated with such forecasting. Why is forecasting commercial real estate rents and vacancies such a trivial undertaking from a time series perspective? 4 -2 0 2 0 AR(1) Model, p = 0.5 GANAN KARLAAAANA 200 400 Time 600 800 1000 Describe in detail the three (3) characteristics of time-series data. Given the graph of an AR(1) process shown above, describe how the AR(1) model captures these characteristics. Consider the Capital Asset Pricing Model (CAPM) discussed in class. In this financial framework, what do the a and of CAPM measure? Describe how you might try to forecast equity returns and the challenges associated with such forecasting. Why is forecasting commercial real estate rents and vacancies such a trivial undertaking from a time series perspective?

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1 Trend Timeseries data often exhibit a trend which represents the longterm movement or pattern in the data This trend can be increasing decreasing or stable over time 2 Seasonality Seasonality refers ... View the full answer