Portfolio diversification and active risk management are essential parts of financial analysis which became even more crucial (and questioned) during and after the years of the Global Financial Crisis. We propose a novel approach to portfolio diversification using the information of searched items on Google Trends. The diversification is based on an idea that popularity of a stock measured by search queries is correlated with the stock riskiness. We penalize the popular stocks by assigning them lower portfolio weights and we bring forward the less popular, or peripheral, stocks to decrease the total riskiness of the portfolio. Our results indicate that such strategy dominates both the benchmark index and the uniformly weighted portfolio both in-sample and out-of-sample.

] Institute of Economic Studies Faculty of Social Sciences Charles University Prague Opletalova 26 110 00 Prague Czech Republic EU [2] Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod Vodarenskou Vezi 4 182 08 Prague Czech Republic EU

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