The first part of the Exercise 5.1 requires to implement a regularized version of linear regression. Adding regularization parameter can prevent the problem of over-fitting when fitting a high-order polynomial. Read More: 194 Words Totally

In the New York Times' "Bits" blog today, Quentin Hardy offers recollections on Big Data talks at the recent Web 2.0 Summit. He begins with a definition of Big Data: Big Data is really about ... the benefits we will gain by cleverly sifting through it to find and exploit new patterns and relationships. You see it now in...

Are there times of the year when returns are better or worse? Abnormal Returns prompted this question with “SAD and the Halloween indicator” in which it is claimed that the US market tends to outperform from about Halloween until April. Data The data consisted of 15,548 daily returns of the S&P 500 starting in 1950. … Continue reading...

The Minimum Investment and Number of Assets Portfolio Cardinality Constraints are practical constraints that are not easily incorporated in the standard mean-variance optimization framework. To help us impose these real life constraints, I will introduce extra binary variables and will use mixed binary linear and quadratic programming solvers. Let’s continue with our discussion from Introduction

Google's Fusion Tables look impressive, for those who want to try geo-visualizations of their data. You don't need much programming experience to be able to use it.For those who want to try it out, here's a nice intro that Kathyrn Hurley presented at the recent SVCC (Silicon Valley Code Camp). When combined with ShpEscape (note spelling) it becomes...