On-device research index

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.

168,695 papers · 148 categories

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5 results for “Consumption-Savings”

Bitcoin Does Not Hedge Inflationq-fin.PR

Bitcoin reacts negatively to inflation surprises, contrary to belief.

problem Bitcoin's ability to hedge inflation is questioned.

method Examined cryptocurrency responses to macroeconomic news announcements.

result Bitcoin's price decreases by 24 bps in response to inflationary surprises.

Bitcoin Inflation Cryptocurrency Economics Consumption-Savings

2023-01-24abs ↗pdf ↗

Geometric Dynamics of Consumer Credit Cycles: A Multivector-based Linear-Attention Framework for Explanatory Economic Analysisq-fin.GN

Study uses geometric algebra to analyze credit cycles, revealing dangerous feedback loops.

problem Understanding and predicting dangerous feedback loops in credit cycles.

method Represent economic states as multi-vectors in Clifford algebra, focusing on bivector elements for rotational coupling.

result Geometric relationship between unemployment and credit contraction shifts from simple correlation to dangerous rotational dynamics during crises.

geometric algebra credit cycles economic analysis feedback loops systemic crises

2025-09-08abs ↗pdf ↗

Income Disaster, Role of Income Support, and Optimal Retirementq-fin.PM

Paper examines how income support affects retirement decisions for low-income individuals.

problem Retirement decisions of low-income individuals affected by income disaster.

method Modeling consumption/savings, investment, and retirement choices with income support.

result Optimal retirement decision depends on the level of income support provided.

retirement income disaster income support low-income optimal decision

2025-09-16abs ↗pdf ↗

Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditionsq-fin.CP

CEFOL uses deep learning for dynamic programming with recursive utility.

problem Challenges in solving dynamic programming problems with recursive utility.

method Introduces a separate neural network for certainty equivalent, uses first-order optimality conditions to learn value and policy functions.

result CEFOL achieves high accuracy in learning value and policy functions, matching VFI benchmarks.

dynamic programming recursive utility deep learning first-order conditions certainty equivalent

2026-07-10abs ↗pdf ↗

Regret Theory And Asset Pricing Anomalies In Incomplete Markets With Dynamic Un-Aggregated Preferencesq-fin.GN

The paper refutes standard asset pricing models and introduces new theories.

problem Inaccuracies in standard asset pricing models.

method Introduces new theories and empirical tests to explain asset pricing anomalies.

result New theories explain why standard models are inaccurate and provide insights.

asset pricing regret theory incomplete markets dynamic preferences empirical tests

2020-05-01abs ↗pdf ↗