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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.

169,341 papers · 148 categories

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471114 · May 202619922001200920182026
48 results for lifetime drawdown

Investment strategy to minimize lifetime drawdown risk.

problem Minimizing the risk of wealth dropping below a fixed proportion of maximum wealth.
method Optimal investment strategy under constant consumption rate, considering geometric Brownian motion.
result The optimal strategy depends on the relationship between maximum wealth and a critical value mm^*.

A neural-network model clusters subjects based on their lifetime distributions.

problem Clustering subjects into clusters based on their lifetime distributions.
method A neural-network based lifetime clustering model that maximizes divergence between empirical lifetime distributions of clusters.
result Significantly better lifetime clusters compared to competing approaches.

This paper studies the stochastic modeling of market drawdown events and the fair valuation of insurance contracts based on drawdowns. We model the asset drawdown process as the current relative distance from the historical maximum of the asset value. We first consider a vanilla insurance contract whereby the protectio…

2013-10-14abs ↗pdf ↗

Drawdowns measuring the decline in value from the historical running maxima over a given period of time, are considered as extremal events from the standpoint of risk management. To date, research on the topic has mainly focus on the side of severity by studying the first drawdown over certain pre-specified size. In th…

2014-03-05abs ↗pdf ↗

The paper optimizes portfolios to minimize drawdown, outperforming market indices.

problem Minimizing drawdown in financial portfolios.
method Formulated as a nonlinear program, partially linearized, solved using SCIP.
result Minimal drawdown portfolios outperform market indices in return, Sharpe ratio, maximum and average drawdown.

The paper analyzes drawdowns in Lévy processes, focusing on magnitude, asymptotics, and duration.

problem Magnitude, asymptotics, and duration of drawdowns in Lévy processes.
method Approximation and asymptotic analysis of drawdown quantities for spectrally negative Lévy processes.
result The law of duration of drawdowns for a wide class of Lévy processes, including TTR.

Develops a method to manage drawdown risk in Kelly gambling.

problem Managing drawdown risk in Kelly gambling with uncertain outcomes.
method Develops a convex optimization problem to bound drawdown probability, trading off growth rate and risk.
result Shows that the convex optimization method outperforms fractional-Kelly bets for the same drawdown risk level or growth rate.

The paper offers investment advice to minimize lifetime poverty with a penalty for bankruptcy.

problem Minimizing lifetime poverty with a penalty for bankruptcy.
method Investment advice with a penalty for bankruptcy or ruin, measured via a non-negative, non-increasing function of wealth.
result Optimal investment strategies computed for specific poverty and consumption functions.

Paper adds a restart mechanism to a drawdown control policy for better trading performance.

problem Missed profitable opportunities when drawdown limit is close to reality.
method Integrates a data-driven restart mechanism into the drawdown modulation trading system.
result The restart mechanism improves trading performance even with transaction costs.

The paper studies drawdown times in Lévy risk processes, generalizing previous results.

problem Analyzing the time of drawdown in spectrally negative Lévy risk processes.
method Using the joint distribution of drawdown times, maximums, and other related quantities.
result Obtained semi-explicit expressions for the joint distribution in terms of scale functions and Lévy measure.

Develops a new framework for drawdown risk beyond Gaussian assumptions.

problem Understanding drawdowns in systematic trading strategies.
method Monte-Carlo simulation, non-Gaussian extensions, fractional Brownian motion.
result Drawdowns and related measures vary differently under non-Gaussian assumptions.

The paper calculates fair premiums and optimal stopping rules for equity-linked contracts tied to drawdown and drawup events.

problem Fair valuation of equity-linked contracts tied to drawdown and drawup events.
method Fluctuation theory of Lévy processes and optimal stopping theory.
result Calculation of fair premiums and optimal stopping rules for equity-linked contracts.

Modeling maximum drawdown records in capital markets using PDMP.

problem Capturing the statistical properties of maximum drawdown records in financial markets.
method Piecewise Deterministic Markov Process (PDMP) for modeling, statistical analysis of mean and variance, simulation study, parameter estimation techniques.
result Derivation of statistical results including mean and variance of maximum drawdown records.

The paper models the dependence between lifetimes of married couples using copulas.

problem The independence assumption in bivariate lifetime modeling for life insurance products is often violated.
method Copula approach with age difference and gender of the elder partner as arguments of the dependence parameter. Maximum likelihood techniques for parameter estimation.
result The correlation between lifetimes decreases with age difference and is higher when the husband is older.

A taxonomy of large financial crashes proposed in the literature locates the burst of speculative bubbles due to endogenous causes in the framework of extreme stock market crashes, defined as falls of market prices that are outlier with respect to the bulk of drawdown price movement distribution. This paper goes on dee…

2006-07-27abs ↗pdf ↗

We study the risk criterion for investments based on the drawdown from the maximal value of the capital in the past. Depending on investor's risk attitude, thus his risk exposure, we find that the distribution of these drawdowns follows a general power law. In particular, if the risk exposure is Kelly-optimal, the expo…

1998-08-26abs ↗pdf ↗

The paper quantifies when a trading strategy's drawdown becomes a cause for concern.

problem Detecting when a profitable trading strategy starts to degrade over time.
method Quantitative analysis of drawdown length and depth for upward drifting Brownian motions.
result Drawdowns lasting too long or being too deep indicate a need to revise the strategy's Sharpe ratio.

Deep neural network optimizes retirement consumption in defined contribution pensions.

problem Optimizing consumption in a defined contribution pension system.
method Formulated as a stochastic control problem, trained deep neural network policy.
result Deep neural network outperforms deterministic rules and adapts to market changes.

A new portfolio optimization model minimizes maximum drawdown, offering faster and more robust solutions.

problem Optimizing portfolios during financial distress, especially during crises.
method Linearization of Markowitz model based on maximum drawdown, with a Mixed-Integer Linear Programming variation.
result 200 times faster solving time with a more profitable and robust solution.

Optimizes treatment duration to maximize quality-adjusted lifetime.

problem Balancing risks and benefits in clinical decision making.
method Proposes a weighted estimating equation to adjust for confounding and informative censoring, and a nonparametric estimator for mean counterfactual quality-adjusted lifetime.
result Shows the optimal time for percutaneous endoscopic gastrostomy insertion in ALS patients.

The paper calculates premiums and optimal stopping rules for insurance contracts with Lévy assets.

problem Calculating fair premiums and optimal stopping rules for insurance contracts with Lévy assets.
method Solving two-sided exit problems related to drawdown and drawup of spectrally negative Lévy processes, and optimal stopping theory.
result Fair premiums and optimal stopping rules identified for various insurance contracts.

Unified framework for drawdown risk computation under Markov models.

problem High computational challenges in drawdown risk metrics.
method Unified framework for computing five drawdown quantities under general Markov models, using linear systems and efficient algorithms.
result Efficient algorithms achieve same complexity as path-independent problems, validated by rigorous convergence analysis and extensive experiments.

Study optimizes portfolio to minimize relative drawdown duration, penalizing unfavorable performance states.

problem Minimizing relative drawdown duration in portfolio optimization relative to a benchmark.
method Introduces a benchmark-relative drawdown-duration criterion penalizing unfavorable performance states. Uses a one-dimensional Markovian representation and Hamilton-Jacobi-Bellman equation.
result Derives explicit projection-based characterization of the optimal feedback control and identifies geometric settings for unique strong solutions.

New features from early battery cycles predict lifetime with high accuracy.

problem Accurately predicting battery lifetime under varying conditions is challenging due to manufacturing variability and usage-dependent degradation.
method Extracted features from regularly scheduled reference performance tests and used them to predict battery lifetime using a hierarchical Bayesian regression model.
result Demonstrated a lifetime prediction of in-distribution cells with 15.1% mean absolute percentage error using only the first 15% of data.

Investors with anxiety about drawdowns may use stop-loss and trailing stops as optimal selling strategies.

problem Investors' anxiety about drawdowns affects optimal selling strategies.
method Mathematical analysis of optimal stopping with random discounting.
result Stop-loss and trailing stops can be optimal selling strategies under anxiety about drawdowns.

This paper shows Markowitz-style strategies are inefficient when considering drawdown risk.

problem Inefficiency of Markowitz-style investment strategies in recursive betting scenarios.
method Use of drawdown as risk metric, time-varying linear feedback block K(k) called the drawdown modulator.
result Classical Markowitz-style strategies are inefficient when considering drawdown risk.

The study characterizes honest times and extends semimartingale class for option pricing.

problem Characterizing honest times and extending semimartingale class for option pricing.
method Characterization of honest times using drawdown and relative drawdown representations, extending semimartingale class to include jumps.
result Established Madan-Roynette-Yor option pricing formula for a broader class of processes.

Maximum drawdown, the largest cumulative loss from peak to trough, is one of the most widely used indicators of risk in the fund management industry, but one of the least developed in the context of measures of risk. We formalize drawdown risk as Conditional Expected Drawdown (CED), which is the tail mean of maximum dr…

2014-04-29abs ↗pdf ↗

Paper calculates perpetual American put option pricing with drawdown event in Lévy market.

problem Pricing perpetual American put options with a drawdown event in a Lévy market.
method Derives explicit price using geometric Lévy process with downward jumps, optimal stopping rule, and martingale arguments.
result Optimal stopping rule is the first time asset price falls below a specific value.

The study identifies factors predicting stock returns and maximum drawdown using various models.

problem Predicting stock returns and maximum drawdown in the US equity market.
method Supervised learning with multiple models (OLS, penalized linear regressions, tree-based models, neural networks) over 49 years of data.
result Non-linear models outperformed linear models in predicting stock returns and maximum drawdown, especially during calm periods.

Study portfolio optimization with partial info and drawdown constraints using deep learning.

problem Optimizing portfolios with partial information and maximum drawdown constraints.
method Bayesian framework, dynamic programming, semi-explicit solutions, deep learning for stochastic control.
result Numerical solutions and performance analysis with deep learning, convergence to Merton problem.

Machine learning speeds up FLIM analysis in biomedical research.

problem Complex, slow, and computationally expensive FLIM analysis.
method Machine learning techniques for faster and smarter FLIM data extraction and interpretation.
result Higher accuracy in classifying and segmenting FLIM images compared to conventional methods.

optHSIC tests independence between covariates and censored lifetimes using optimal transport.

problem Testing independence between a covariate and right-censored lifetimes.
method optHSIC uses optimal transport to transform censored data into uncensored data, then applies a permutation test with a kernel-based dependence measure.
result optHSIC has power against a wider class of alternatives than Cox regression and maintains type 1 error control even when censoring depends on the covariate.

A new model for lifetime maximization with reneging in heterogeneous outcomes.

problem Maximizing lifetime in applications with reneging and heterogeneous satisfaction levels.
method Heteroscedastic linear bandits with reneging, UCB-type policy HR-UCB.
result HR-UCB achieves O(T(log(T))3)\mathcal{O}\big(\sqrt{{T}(\log({T}))^{3}}\big) regret.