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How Private Equity Firms Can Manage Uncertainty With Scenario Modeling

Jedox

Assets with strong fundamentals and low valuations create openings to new markets. In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. In the face of uncertainty, investor relations are paramount. Pinpoint opportunities.

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Predictive Analytics Improves Trading Decisions as Euro Rebounds

Smart Data Collective

Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Traders can have even more difficulty identifying the best investing opportunities as market volatility intensifies. Predictive Analytics Helps Traders Deal with Market Uncertainty. in 2022 and 1.5% percent in 2023.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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Sisense Spring Book Recommendations for Unpredictable Times

Sisense

There is a treasure trove of market, culture, and management guidance published for business executives. We cannot forecast a black swan appearance, but we can try to predict which companies will survive — those that have strong fundamentals, infrastructure, and culture. Levitt and Stephen J.

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The Difference between Supercycles and Short Cycles and their Implications

Andrew White

– Labor-Market Recovery Isn’t a Done Deal Yet. Given that the article is published in the Exchange section those implications are related to business and finance. Is poor competitive behavior in the market the cause, or is it due to drops in fertility rates 20 years before? The article goes on to explore what this means.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

Forecasting (e.g. Time series data are having something of a moment in the tech blogs right now, with Facebook announcing their "Prophet" system for time series forecasting (Taylor and Letham 2017), and Google posting about its forecasting system in this blog (Tassone and Rohani 2017).

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Predicting Movie Profitability and Risk at the Pre-production Phase

Insight

Photo by Roberto Nickson on Unsplash Much effort has been spent understanding and forecasting the success of movies (e.g., I wanted to note that my technique to predict ROI and ROI uncertainty is designed to supplement but not supplant the creative decision-making process. part of what makes this so difficult!

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