Vol-of-vol can move before spot volatility fully reprices. When VVIX jumps faster than VIX while front VIX futures lag, the options market may be pricing a convexity shock before the futures curve catches up. Buy defined-risk VIX call spreads to express that convexity repricing without unlimited premium exposure. Exit when VVIX mean-reverts while VIX remains elevated or when the futures catch-up has already occurred.
The graph construction is depends on Pearson correlations estimated from 125-day windows, and more than 5 parameters. Small changes in these design choices reorder centrality rankings and therefore change the selected stocks. So the results are pretty unstable.
Equity-index options often price weekend uncertainty through implied variance, while realized Friday-close to Monday-open movement may be smaller in quiet regimes. The trade sells a small delta-hedged index straddle near Friday close when implied weekend variance is rich. The position is bought back Monday open if the realized gap stays inside a preset band. The edge is weekend theta capture, but the risk is jump exposure while markets are closed.
The authors show that performance is highly sensitive to noise, and bottleneck size. Once Gaussian noise rises beyond around 5%, or the bottleneck becomes too large, the Information Ratio declines.
Some spreads revert fast, some revert slowly, some jump, and some trend after breaking. Embed each spread into a latent space using features or sequence encoders that capture its behavior over time. Cluster the latent points into archetypes, then assign trading rules suited to each cluster.
Some factors can unwind together when liquidity disappears, especially in small caps. Build a portfolio objective that rewards expected edge but penalizes exposure to known crowded factors.
The supervised stage trains the DDPG actor to imitate Markowitz allocations. The problem is that Markowitz weights are extremely sensitive to expected returns and covariance estimates. Atiny estimation error can produce a large change in weights
Each state represents a market environment where mean-reversion sleeves may behave differently. Instead of running MR continuously, estimate which latent state is active today. Only allocate to MR sleeves in states where historical survival and drawdown are acceptable.
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