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Using the example of the COVID-19 global crisis (2020), we prove the low effectiveness of the existing approach to managing the financial risks of investments based on commercial investments. For this, we performed an applied quantitative study based on the statistics from the World Bank for 2020 and the Forbes Global 2000 ranking in 2021, using as an example 17 developing countries with lower-middle and upper-middle incomes from different regions of the world. As an alternative, we suggest a new approach for managing the financial risks of investments, which is based on corporate social responsibility. It implies the placement of long-term, large-scale investments in social and ecological innovations based on the mechanism of public-private partnership. We substantiated the high effectiveness and advantages of the new approach. The new approach to financial risk management amid a crisis was more effective (in comparison with the existing approach) for businesses (ensures higher return on investments, allows avoiding losses), the government (contributes more to economic growth, the probability of which achievement is higher), and for society (supports SDGs to a larger extent and contributes to sustainable development). This paper contributes to the development of the Theory of Investments (Neo-Keynesianism) and fills a gap in the literature, bridging the gap between the Theory of Investments and the Theory of Sustainable Development—outlining the perspectives of the simultaneous overcoming of economic crises and supporting sustainable development during the management of financial investment risks based on corporate social responsibility.

The key to understanding the dynamics of stock markets, particularly the mechanisms of their changes, is in the concept of the market regime. It is regarded as a regular transition from one state to another. Although the market agenda is never the same, its functioning regime allows us to reveal the logic of its development. The article employs the concept of financial turbulence to identify hidden market regimes. These are revealed through the ratio of the components, which describe single changes of correlated risks and volatility. The combinations of typical and atypical variates of correlational and magnitude components of financial turbulence allowed four hidden regimes to be revealed. These were arranged by the degree of financial turbulence, conceptually analyzed and assessed from the perspective of their duration. The empirical data demonstrated ETF day trading profits for S&P 500 sectors, covering the period of January 1998–August 2020, as well as day trade profits of the Russian blue chips within the period of October 2006–February 2021. The results show a significant difference in regard to the market performance and volatility, which depend on hidden regimes. Both sample data groups demonstrated similar contemporaneous and lagged effects, which allows the prediction of volatility jumps in the periods following atypical correlations.