K Score - Germany - All Sectors

Performance Showcase

To test the performance of the K Score, we constructed two portfolios – Top Picks and Bottom Picks. The Top Picks portfolio is comprised of the largest 30 German stocks by market cap that are assigned with a K Score of 9, while the Bottom Picks portfolio have stocks in K Score of 1.

Cumulative Return of Portfolios (2013-01-02 to 2020-09-01)

Statistics CAGR Alpha Volatility Beta Sharpe
Top Picks 11.20% 6.39% 15.30% 0.74 0.77
Top 30 German Stocks by Market Cap 6.89% 0.00% 16.29% 1.00 0.49
Bottom Picks 5.19% 0.35% 18.44% 0.88 0.37

Overview

K Score is a predictive equity rating powered by machine learning (ML) technologies. Kavout takes in vast and diverse datasets including fundamentals, pricing, technical indicators, and alternative data, and then uses a combination of statistical analysis and ML techniques with ranking algorithms to deliver an actionable equity rating score with values ranging from 1-to-9.

A higher K Score (7-9) assigned to a stock indicates a higher probability of outperformance, whereas a lower K Score (1-3) indicates a lower probability of outperformance in the next month.

Data Highlights

  1. For quantitative users, overlay K Score as a signal in investment models.
  2. Generate new equity long/short ideas that weren't on your radar before, or validate research as a screening parameter.
  3. Mitigate risk in portfolio construction by avoiding stocks with low K scores (1-3).