This is a summary of links recently featured on Quantocracy as of Wednesday, 02/18/2026. To see our most recent links, visit the Quant Mashup. Read on readers!
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Combining Calendar Strategies into the Trading Portfolio [Quantpedia]Calendar strategies are often viewed as weak when assessed individually. Their annualized returns tend to be low, market exposure is limited, and trading activity is sparse. Compared to trend following or swing strategies, which can remain invested for extended periods, calendar strategies may appear inefficient at first glance. This impression, however, largely stems from evaluating these
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Improving Performance with Fast Alphas; A Tactical Overlay for Intraday Trend Trading [Concretum Group]Predictive signals operating at very short horizons often exhibit strong gross performance in backtests but fail to survive realistic transaction costs due to prohibitive turnover. This research note argues that the inability to monetize such signals directly does not imply the absence of economic value. We distinguish between monetizable alpha, which survives trading frictions as a standalone
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New Contributor: A Linear Regression’s Predictions are a Relevance-Wtd Avg of Past Outcomes [Yannick Kalber]The book Asset Allocation: From Theory to Practice and Beyond by Kinlaw et al. (2021) is one of my favorites as it gets a few myths about mean variance optimization right, which are constantly parroted, even in academic papers to motivate some fancy new method as solution. It also provides useful solutions to a portfolio managers or allocators practical questio like when to rebalance.
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Volatility Clustering Across Asset Classes: GARCH and EGARCH Analysis with Python (2015 2026) [Jonathan Kinlay]If youve been trading anything other than cash over the past eighteen months, youve noticed something peculiar: periods of calm tend to persist, but so do periods of chaos. A quiet Tuesday in January rarely suddenly explodes into volatility on Wednesdaymarket turbulence comes in clusters. This isnt market inefficiency; its a fundamental stylized fact of financial markets, one that