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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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1122 · Jun 201819922001200920182026
17 results for Post-crisis

The paper identifies inconsistencies in post-crisis derivative pricing methods and derives no-arbitrage expressions.

problem Inconsistencies in post-crisis derivative pricing methods, particularly regarding cost components to a risk-free money account.
method Derives no-arbitrage expressions for default-risky derivative contracts with and without collateral.
result Avoids inconsistencies in derivative pricing methods by deriving no-arbitrage expressions.

Optimizing post-crisis recovery in scale-free networks by stimulating high-degree nodes.

problem Determining the most cost-effective nodes to stimulate in scale-free networks for economic recovery.
method Utilized the Ising model to analyze metastable features and costs of stimulating nodes in scale-free networks.
result Stimulation of high-degree nodes is more cost-effective in scale-free networks compared to regular networks.

Develops a new model for interest rates allowing negative rates and superior calibration.

problem Current market environment with negative interest rates and poor calibration of existing models.
method Forward price process approach using time-inhomogeneous Lévy processes.
result The model allows for negative interest rates and superior calibration properties.

Haircutting non-cash collateral has become a key element of the post-crisis reform of the shadow banking system and OTC derivatives markets. This article develops a parametric haircut model by expanding haircut definitions beyond the traditional value-at-risk measure and employing a double-exponential jump-diffusion mo…

2017-08-25abs ↗pdf ↗

Investigates VIX's effectiveness as a fear gauge for US and BRIC markets.

problem Determines if VIX remains a reliable indicator of investor fear in US and BRIC markets.
method Analyzed VIX relationships with US and BRIC markets from Jan 2007 to Feb 2018, focusing on pre-, during, and post-2008 financial crisis periods.
result Found frequent structural breaks in VIX and enhanced fear transmission after 2008, with varying impacts on US and BRIC markets.

The study examines cross-border lending behavior from G7 countries, showing changes in driving factors after the 2008 financial crisis.

problem Understanding the factors affecting cross-border lending behavior among G7 countries.
method Employed a gravity model to analyze bilateral and global factors influencing cross-border lending.
result Driving factors for cross-border lending have changed since the 2008 financial crisis, with continent variable becoming more significant.

HyFi cryptocurrencies backed by institutions show lower price risk than fully decentralized ones.

problem High volatility in decentralized finance (DeFi) cryptocurrencies.
method Panel EGLS models with fixed, random, and dynamic specifications using daily data for 18 major cryptocurrencies.
result HyFi-like assets exhibit lower price risk, especially during market stress.

This study uses complex networks to analyze influential spreaders and their effects on different market sectors.

problem Existing methods failed to distinguish between positive and negative influences of market sectors.
method LIEST (Local Influential Effects for Specific Target) method using complex network analysis.
result LIEST effectively distinguishes positive and negative influences of market sectors during different periods.

Method forecasts market states using sparse precision matrix and penalized Mahalanobis distance.

problem Forecasting market states and distinguishing bull and bear markets.
method Identifies market states via sparse precision matrix and expectation values. Uses penalized Mahalanobis distance for clustering and forecasting.
result Successfully clusters market states and forecasts future market conditions with significant accuracy.

Proposes QGC to distinguish between lower and upper tail connectivity in financial networks.

problem Identifying systemically important firms using financial data.
method Quantile Granger Causality (QGC) using Lasso penalized quantile regressions.
result QGC networks detect systemic risk more accurately than mean-based networks.

Short-term trend-following has stopped delivering profits since 2009, especially on smaller market ticks.

problem The profitability of short-term trend-following has declined since 2009.
method Cross-sectional analysis of 100 liquid futures contracts from 1995-2025, evaluating four explanations.
result The decline in short-term trend-following profits is linked to smaller market ticks, not asset class or liquidity.