Quantitative Methods (M) - Numerical Analysis - Market conditions - Quantitative Assignment Help

Assignment Task:

Task:

Task #1: Market conditions 
Your client would like to know more about the market conditions about the real estate market in Melbourne (including all suburbs). Please provide the time series graphs for quarterly sale volume (the number of sold properties) as well as mean and median sold price for the 2016- 2018 period. Has the average property price increased in the first quarter of 2018 compared to the last quarter of 2017?

Have the mean and median property price increased in the first quarter of 2018 compared to the first quarter of 2017? Which measure (mean or median) is more suitable to use to describe the property price evolution?

Discuss the results, including the limitations of the tests.

Task #2: Descriptive statistics (7 points)

Discuss briefly your sample, including the number of observations, outliers. Provide the descriptive statistics of the sample. How you choose to do this is entirely at your discretion. However, it is recommended that you consider using both summary statistic and graphical methods while also noting any peculiarities within the data set. In addition, your client would like to see:

•  the histogram of the sold price for the entire sample1
•  and the histograms of sold price for the year 2016 and the year 2017 on the same figure.

Task #3: Property price estimation (13 points)

Your client would like to purchase the following property:

•  Suburb: Balwyn North
•  Distance: 9.2
•  Rooms: 4
•  Type: House
•  Car: 2
•  Bathroom: 3
•  Landsize: 700
•  BuildingArea: 220.

Task #4: Hypothesis testing (7 points)

You client hear that property prices in Brighton are higher than in Balwyn North. Develop the appropriate hypotheses and test them using t-test and regression analysis. Discuss the results.

Task #5: Buying property (9 points)

Your client would like to know whether property price depends on the sale method. Would you recommend your client to purchase property prior to the auction, or in the auction, or after the auction, given the empirical data?

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