This paper examines whether machine learning (ML) algorithms can outperform a linear model in predicting monthly growth in Canada of both house prices and existing home sales. The aim is to apply two widely used ML techniques (support vector regression and multilayer perceptron) in economic...

We present a simple model of the price process of a capital asset that is subject to serially correlated demand shocks, and whose supply responds with a lag. In this setting the price of the asset can exhibit positive serial correlation over short intervals and negative serial correlation over...

We analyze the prices of owner-occupied housing in 97 metropolitan areas between 1980 and 2011. Our tests indicate that price changes exhibit positive serial correlation at the one year intervals, with subsequent reversals of price changes over longer intervals. Consistent with our simple model,...

We analyze the prices of owner-occupied housing in 97 metropolitan areas between 1980 and 2011. Our tests indicate that price changes exhibit positive serial correlation at the one year intervals, with subsequent reversals of price changes over longer intervals. Consistent with our simple model,...