Financial time series, such as stock prices, interest rates, foreign exchange rates, and inflation rates, often exhibit the phenomenon of volatility clustering, which linear structural (and time series models) cannot explain. i. Explain Volatility Clustering ii. Identify any two (2)that can explain non-linear dynamics in financial time series. c. Explain the difference between t-test and F-test of significance using hypothesis testing notation. Question 6 Calendar anomalies, such as the day-of-the-week effect, in stock market returns lead to a violation of the random walk hypothesis. Formulate a model to test day-of-the –week effect in stock returns of Ghana Stock Exchange All-Share Index and mathematical define all variables in the model(if possible)