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Sydney House Prices 1/8/2015: Average 3 bedroom house now sells for $1,226,208. (Down 0.82%)

Hopefully some of the heat coming out of the housing market. Prices down close to 1% for the 3 bedrooms and 4 bedrooms. 2 bedroom houses going up though...might mean that more money down at the budget end of housing. Stats as per normal House Type Total Sample Average Min Max Confidence Change Average 2 Bedroom House 279    1,153,117.91           1,109,488.45    1,196,747.36 43629.45488 0.05% 3 Bedroom House 1156    1,226,208.21           1,197,189.30    1,255,227.12 29018.90962 -0.82% 4 Bedroom House 874    1,429,501.20           1,387,329.33    1,471,673.08 42171.87273 -0.29%

Why is everyone raving about how well Hamish Mclennan went at TEN?

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If I was a shareholder, I would be saying "And Stay Out" Though maybe I am being a bit harsh. The Ex Boxer from NINE hasn't exactly set the world on fire over the last year and a bit either. NINEs problems have only been apparent over the last couple quarter however.

Sydney House Prices 25/7/15: Average 3 bedroom house now sells for $1,236,307.32 (down 0.06%)

Stats as per normal. Wonder what the effect of the APRA changes will have on house prices. Type Total Sample Average Min Max Confidence Change 2 Bedroom House 253    1,152,581.74           1,106,803.68    1,198,359.80 45778.06124 -0.31% 3 Bedroom House 1050    1,236,307.32           1,205,528.07    1,267,086.58 30779.25465 -0.06% 4 Bedroom House 822    1,433,686.80           1,389,888.72    1,477,484.88 43798.07875 -0.92%

Apple Watch - By my estimates, worth $1.318 Billion in Revenue

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Been trying to work out the effect the Apple Watch is having on Apple Revenue. Always difficult to judge when the data isn't listed in the Divisional summary of the earnings report. Still, you can always try some regression analysis to figure out what is going on. Firstly, you need to seasonally adjust the Quarterly revenue statements of the "Other Product" categories in the Apple financial reports. To find the seasonal signal, I have found the 4 period moving average for the quarterly revenues since 2012. I have then averaged the residuals (of the difference between the raw figure and the moving average) to come up with the Seasonal factors for each quarter. I have then removed this factor from the raw figures to come up with a Seasonally adjusted data set. Results below.                        Raw Average Residual Average Residual SA Serie...