Crypto · Analysis
which time-aggregation window optimally balances noise and signal in on-chain volume?
On-chain volume aggregation should be chosen to match the analytical goal. For most monitoring and research use cases, a 24-hour aggregation window provides the best practical balance between short-term noise
how does yield curve decomposition enhance forecasting of interest rate shifts?
Yield curve decomposition clarifies how different forces drive interest rates, improving forecasts by separating persistent expectations from transitory risk components. Research by Francis X. Diebold at the University of Pennsylvania
do mempool inclusion timings improve causal price impact estimates?
Mempool inclusion timings can meaningfully improve causal estimates of short-term price impact, but only when researchers account for important selection effects and infrastructure differences. Observing when a transaction first appears
how does autocorrelation in returns affect factor model estimation?
Autocorrelation in asset returns alters the statistical properties that underpin factor model estimation and testing. Factor models estimate how asset returns load on common drivers and infer risk premia and
what preprocessing mitigates address clustering errors from recycled wallets?
Recycled or custodial wallets that reuse addresses create systematic address clustering errors because common heuristics treat multi-input transactions or repeated address usage as single ownership. These false merges distort attribution,
how do transaction costs alter portfolio efficient frontier estimation?
Modern portfolio theory treats the efficient frontier as the set of portfolios that maximize expected return for a given level of risk, a formulation introduced by Harry Markowitz at the
how does token holder concentration affect liquidity risk analysis?
Concentration of token holders materially changes how analysts evaluate liquidity risk because a small group controlling a large share of supply alters market depth, increases price impact from trades, and
how does hidden leverage distort risk-adjusted performance metrics?
Hidden or opaque borrowing amplifies returns while masking the true risk a portfolio carries. hidden leverage can come from derivative exposures, prime broker margining, total return swaps, or off-balance-sheet funding
which graph convolution features improve detection of contract exploit precursors?
Graph-based detection of smart contract exploit precursors improves when models encode behavioral, structural, and temporal signals that reflect both on-chain mechanics and human-driven economic incentives. Foundational work by Thomas N.
how can variance decomposition improve macroeconomic shock attribution in portfolios?
Mechanism and methodological value
Variance decomposition breaks down the forecast error variance of a portfolio’s returns into contributions from underlying shocks estimated in a multivariate time-series model. Variance decomposition implemented through