Hello. Kindly help me with correct answers to Question 3: from 3.1 to 3.7.

You are a risk analyst hired in 2015 by the management team of a big sales company. One of your tasks is to analyze and make predictions on the net worth of the company as time evolves, based on all company's activities. To that end, you are given yearly records of the company's net worth from 1997 to 2014 as summarized in the following table: [TURN OVER] 4 OCTOBER/NOVEMBER 2022 (3.1) Provide a graphical representation for the given time-series. (3.2) Does the time-series seem to follow a trend? If yes, which type of trend? Justify your answer. (2) (3.3) Is the time-series covariance-stationary? Justify your answer. (3.4) Assess the level of heteroskedasticity. Is there a resson for concern? Justify your answer. (3.5) Assess the level of serial correlation. Is there a reason for concern? Justify your answer. (3.6) Conduct an AR(1) process on a new time-series obtained after a carefully chosen transforma- (5) tion, and assess the level of serial correlation via an auto-correlation test. (3.7) Provide an estimate of the value of the time-series for 2015 . You are a risk analyst hired in 2015 by the management team of a big sales company. One of your tasks is to analyze and make predictions on the net worth of the company as time evolves, based on all company's activities. To that end, you are given yearly records of the company's net worth from 1997 to 2014 as summarized in the following table: [TURN OVER] 4 OCTOBER/NOVEMBER 2022 (3.1) Provide a graphical representation for the given time-series. (3.2) Does the time-series seem to follow a trend? If yes, which type of trend? Justify your answer. (2) (3.3) Is the time-series covariance-stationary? Justify your answer. (3.4) Assess the level of heteroskedasticity. Is there a resson for concern? Justify your answer. (3.5) Assess the level of serial correlation. Is there a reason for concern? Justify your answer. (3.6) Conduct an AR(1) process on a new time-series obtained after a carefully chosen transforma- (5) tion, and assess the level of serial correlation via an auto-correlation test. (3.7) Provide an estimate of the value of the time-series for 2015