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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.

169,291 papers · 148 categories

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48 results for Risk-preference

The study infers risk preferences from portfolio choices and measures portfolio efficiency.

problem Measuring the efficiency of household investment portfolios based on risk preferences.
method Statistical analysis of portfolio choices and demographic information over six years.
result Implied risk aversion increases with wealth and financial literacy, impacting portfolio efficiency.

Generalizes risk sharing models to a continuum of agents.

problem Risk sharing among a large number of heterogeneous agents.
method Modeling agents as points in a measure space, using risk measures on a probability space, and deriving dual representations.
result Explicit formulas for specific risk measures (entropic and expected shortfall) and applications to Pareto efficiency.

The paper analyzes financial market equilibrium with heterogeneous risk preferences and convex constraints.

problem Characterizing equilibrium in a market with heterogeneous risk preferences and convex constraints.
method Continuous-time financial market model with heterogeneous agents and convex portfolio constraints.
result Margin constraints increase market price of risk and decrease interest rates, leading to higher equity risk premium and pro-cyclical leverage cycles.

The paper proposes a new risk measure, Expected Downside Risk, to explain risk-preference.

problem Contradictory empirical findings between risk and reward.
method Introducing Expected Downside Risk (EDR) as a new risk measure.
result EDR better explains investors' utility perception and can model both positive and negative risk-reward relationships.

Study optimal investment decisions for diverse risk-tolerant agents.

problem Optimizing investment choices for agents with varying risk preferences.
method Characterizes optimal behavior using certainty equivalents and lognormal risks.
result Derives optimal decision menus under known and uncertain preference distributions.

Improved probabilistic forecasts using behavioral transformations.

problem Improving accuracy and consistency of probabilistic asset price forecasts.
method Behavioral transformation of fundamental expectations to disentangle sentiment-induced biases.
result Substantial forecast gains across various models and risk-preferences.

Study preferences over uncertain time payments, finds growth-optimality better than expected utility theory.

problem Understanding how people make decisions with uncertain timing of payments.
method Normative model of growth-optimality, revisiting experimental evidence on time lotteries.
result Growth-optimality better explains experimental data on time lotteries than expected discounted utility theory.

Paper tackles optimal policy learning with observational data in multi-action scenarios.

problem Optimal policy learning in multi-action settings with observational data.
method Review of estimation approaches, analysis of risk preference, discussion of potential failures.
result Average regret of a policy with multi-valued treatment is contingent on the decision-maker's attitude towards risk.

Study forward investment performance in semimartingale markets with stochastic factors.

problem Investigate forward investment performance in incomplete semimartingale markets with power risk preferences and stochastic integrated factors.
method Develop necessary and sufficient conditions for FIPP existence, use integral representations, and solve ill-posed HJB equations.
result Explicit constructions for time-monotone FIPPs in semimartingale models, generalizing from Brownian to semimartingale markets.

Study recovers investor preferences from portfolio data using synthetic data and robust optimization.

problem Recovering latent investor preferences from observed portfolio allocations under uncertainty.
method Inverse portfolio optimization framework integrating robust optimization and regret-based inference.
result Accurate recovery of transaction cost parameters and partial identifiability of ESG penalties under preference misspecification and market shocks.

Research tackles investor confusion in ESG rankings, offering tailored strategies.

problem Widespread confusion among investors regarding ESG rankings.
method Developed ESG ensemble strategies, integrated ESG scores into RL model, proposed Double-Mean-Variance model, introduced ESG-adjusted CAPMs.
result Optimized portfolios that balance financial returns and ESG-focused outcomes.

The paper analyzes strategic behavior in reinsurance transactions leading to Nash equilibria.

problem Strategic behavior in reinsurance transactions affecting risk aversion and welfare gains.
method Identifying Nash equilibria within a class of risk measures.
result At strictly beneficial Nash equilibria, agents appear homogeneous in risk preferences.

The paper addresses risk sharing and variability measures among agents with general risk preferences.

problem Risk sharing and variability measures among agents with general risk preferences.
method Characterizes Pareto-optimal allocations using Gini deviation, mean-median deviation, and inter-quantile difference as variability measures.
result Optimal allocations are not comonotonic and feature a mixture of pairwise counter-monotonic structures.

This study measures price risk aversion using indirect utility functions in a lab experiment.

problem Measuring risk aversion with uncertain prices in experimental economics.
method Using indirect utility functions and a multiple price list method in a lab experiment.
result Price risk aversion is statistically greater than payoff risk aversion.

The paper optimizes reinsurance under uncertain dependence among insurers.

problem Designing Pareto-optimal reinsurance contracts in a market with uncertain dependence.
method Robust optimization approach assuming known marginal distributions and unspecified dependence structure.
result Characterization of optimal indemnity schedules under worst-case scenario and derivation of optimal two-parameter layer contracts for independent risks.

Study optimal portfolios for many players in a market model with random coefficients.

problem Optimal portfolio selection for many players under relative performance criteria in a market model with random coefficients.
method Game theory and stochastic optimal control, focusing on CARA and CRRA risk preferences, and extending to continuum of players.
result Existence of forward Nash equilibrium and mean field equilibrium for the n-agent game and corresponding mean field stochastic optimal control problem.

Paper develops a robust preference model for multi-attribute choices.

problem Ambiguity in multi-attribute choice functions.
method Pairwise comparisons for preference elicitation, robust optimization model based on worst-case choice function.
result Developed tractable formulations for robust preference optimization.

Model uncertainty is a type of inevitable financial risk. Mistakes on the choice of pricing model may cause great financial losses. In this paper we investigate financial markets with mean-volatility uncertainty. Models for stock markets and option markets with uncertain prior distribution are established by Peng's G-s…

2014-07-30abs ↗pdf ↗

Framework uses IRL and RL to elicit and optimize risk preferences robustly to noise.

problem Eliciting and optimizing risk preferences in noisy environments.
method Adaptive Bayesian IRL for elicitation, model-free RL for optimization, using quantile networks.
result Framework achieves convergence rate of O(exp(cm+O(mlogm)))O(\exp(-cm+O(\sqrt{m\log m}))).

Paper studies optimal portfolio allocation in fuzzy and mixed models.

problem Optimizing portfolio allocation in possibilistic and mixed models.
method Approximate formula for optimal allocation computed for possibilistic and mixed models.
result Optimal allocation formula derived considering possibilistic moments and investor preferences.

This paper considers the Merton portfolio management problem. We are concerned with non-exponential discounting of time and this leads to time inconsistencies of the decision maker. Following Ekeland and Pirvu 2006, we introduce the notion of equilibrium policies and we characterize them by an integral equation. The ma…

2008-06-25abs ↗pdf ↗

Study many-player investment-consumption games with power FPPs, finding market-risk preference affects consumption.

problem Investment and consumption optimization in a mean field competition setting.
method Solve many-player and mean field games using power FPPs, providing closed-form solutions.
result Market-risk relative consumption preference affects agent's consumption decisions.

Study examines risk premium convergence rates in risk sharing contracts.

problem Analyzing risk premium convergence rates in risk sharing contracts.
method Examines the limiting behavior of risk premium associated with Pareto optimal risk sharing contracts under general law-invariant risk measures.
result Risk premium convergence rate is typically n1/2n^{1/2}, not nn.

Voluntary insurance contracts constitute a puzzle because they increase the expectation value of one party's wealth, whereas both parties must sign for such contracts to exist. Classically, the puzzle is resolved by introducing non-linear utility functions, which encode asymmetric risk preferences; or by assuming the p…

2015-07-16abs ↗pdf ↗

Optimal insurance contracts are designed to screen risk preferences and risk types under asymmetric information.

problem Designing optimal insurance contracts under asymmetric information and risk types.
method Constructing a menu of contracts that maximizes mean-variance utilities, subject to truth-telling constraints.
result Equilibrium contracts exhibit nonlinear pricing with decreasing risk loadings, inducing self-selection.

In this paper, we propose an equilibrium pricing model in a dynamic multi-period stochastic framework with uncertain income streams. In an incomplete market, there exist two traded risky assets (e.g. stock/commodity and weather derivative) and a non-traded underlying (e.g. temperature). The risk preferences are of expo…

2012-05-28abs ↗pdf ↗

This paper considers the optimal portfolio selection problem in a dynamic multi-period stochastic framework with regime switching. The risk preferences are of exponential (CARA) type with an absolute coefficient of risk aversion which changes with the regime. The market model is incomplete and there are two risky asset…

2011-02-24abs ↗pdf ↗

Optimizes pension fund strategies considering age-dependent risk preferences.

problem Maximizing utility of future consumption and wealth in DC pension plans.
method Solves optimal consumption and investment policies using Black-Scholes framework and HARA utility functions.
result Only extended model with time-varying preference parameters provides adequate fit for real-life data.

Study risk sharing among agents with varying risk preferences.

problem Risk sharing among agents with heterogeneous risk measures.
method Derive explicit solutions for inf-convolution and counter-monotonic inf-convolution under varying risk seeking.
result Explicit solutions for inf-convolution and counter-monotonic inf-convolution can be represented by a generalization of distortion risk measures.

Study optimal dynamic basis trading strategies with stochastic basis model.

problem Optimal dynamic trading of futures and underlying asset under stochastic basis.
method Model basis evolution as stopped scaled Brownian bridge, solve utility maximization problem with HARA risk preferences.
result Derive exact conditions for optimal trading strategies and solve explicitly.

Risk aversion is a key element of utility maximizing hedge strategies; however, it has typically been assigned an arbitrary value in the literature. This paper instead applies a GARCH-in-Mean (GARCH-M) model to estimate a time-varying measure of risk aversion that is based on the observed risk preferences of energy hed…

2011-03-30abs ↗pdf ↗

We develop a finite horizon continuous time market model, where risk averse investors maximize utility from terminal wealth by dynamically investing in a risk-free money market account, a stock written on a default-free dividend process, and a defaultable bond, whose prices are determined via equilibrium. We analyze fi…

2011-08-04abs ↗pdf ↗

A new trading system learns to minimize risk and maximize returns in real markets.

problem Optimizing trading strategies under risk constraints in financial markets.
method Direct Reinforcement Learning with Conditional Value-at-Risk as the risk measure.
result The proposed algorithm outperforms traditional methods in real-world financial markets, demonstrating robustness and profitability.

Model prices and hedges exotic S&P index derivatives with bid-ask spreads.

problem Pricing and hedging exotic derivatives in markets with bid-ask spreads and finite quantities.
method Develops a model using convex optimisation for fast computation of prices and hedging portfolios.
result Optimized static hedges provide good approximations of options payouts and narrow spreads.

The paper analyzes optimal timing to sell assets under different price dynamics and utility functions.

problem Optimal timing to sell risky assets under different price dynamics and risk preferences.
method Two stochastic models (trending and mean-reverting) and three utility functions (exponential, power, log) are considered to derive optimal thresholds and certainty equivalents.
result The timing option can make the investor's value function and certainty equivalent non-concave in price.

Develops a framework for robust RL with dynamic risk measures.

problem Optimal RL strategies depend on risk preferences and model dynamics.
method Dynamic robust distortion risk measures, Wasserstein ball, neural networks, strictly consistent scoring functions, policy gradient formulae, actor-critic algorithm.
result Demonstrates improved performance in portfolio allocation example.