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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.

168,742 papers · 148 categories

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2457 · Aug 201919922001200920172026
48 results for DC pension

Paper optimizes DC pension fund management with VaR and relative performance constraints.

problem Optimizing DC pension fund performance under VaR and relative performance constraints.
method Introduced an auxiliary process to transform the problem into a self-financing problem, combined linearization, Lagrange dual, martingale, and concavification methods.
result Explicit investment strategies obtained for certain penalty and reward functions.

This paper optimizes DC pension plan investments using O-U process and loan.

problem Optimizing investment strategy for DC pension plans under specific market conditions.
method Dynamic programming and Hamilton-Jacobi-Bellman equation to derive optimal investment strategy.
result Explicit expression for optimal investment strategy derived.

Investigates risk measures for DC pension decumulation.

problem Develop optimal decumulation strategies for DC plan holders.
method Formulates decumulation as a control problem, studies risk measures (expected shortfall, linear shortfall, probability of shortfall).
result Optimal controls for expected reward and expected shortfall are identical to those for expected reward and linear shortfall.

Optimal withdrawal strategy for DC pension plans maximizes total withdrawals while managing risk.

problem Maximizing withdrawals from DC pension plans while managing risk.
method Optimal stochastic control approach with constraints on withdrawal and asset allocation.
result Optimal strategy yields higher average withdrawals with minimal increase in risk.

In this paper we consider three types of embedded options in pension benefit design. The first is the Florida second election (FSE) option, offered to public employees in the state of Florida in 2002. Employees were given the option to convert from a defined contribution (DC) plan to a defined benefit (DB) plan at a ti…

2017-08-14abs ↗pdf ↗

A neural network approach solves optimal decumulation problems for pension plans.

problem Optimal asset allocation and withdrawal strategies for DC pension holders.
method Data-driven neural network optimization with customized activation functions.
result The neural network approach learns near-optimal solutions comparable to HJB PDE methods.

Georgia's pension reform affects individual welfare.

problem Optimizing pension systems to ensure old age welfare and reduce budgetary pressure.
method Historical analysis, comparative international experience, and assessment of investment potential.
result Challenges and potential improvements of the mandatory funded pension system.

India introduces NPS to manage pension liabilities and promote savings.

problem Managing pension liabilities and promoting savings among employees.
method Comparative analysis of NPS and OPS, addressing stakeholder claims.
result NPS reduces government pension liabilities and promotes disciplined saving.

We study the gap between the state pension provided by the Italian pension system pre-Dini reform and post-Dini reform. The goal is to fill the gap between the old and the new pension by joining a defined contribution pension scheme and adopting an optimal investment strategy that is target-based. We find that it is po…

2018-04-15abs ↗pdf ↗

The paper proposes a dynamic risk measure approach for evaluating defined-contribution pension funds.

problem Periodic evaluation of defined-contribution pension funds to manage risk and improve projections.
method Dynamic risk measure criterion, model-free reinforcement learning, Lee-Carter mortality model.
result Periodic evaluations lead to more risk-averse strategies, while mortality improvements encourage risk-seeking behaviors.

Pension benefits in rural China lead to cognitive decline among the elderly.

problem Cognitive decline in late adulthood among rural Chinese elderly.
method Examined the effects of a new pension scheme on cognitive performance.
result Pension benefits negatively impact cognitive functioning, particularly delayed recall.

The paper optimizes pension policies with guarantees and sustainability constraints.

problem Designing optimal pension policies with guarantees and sustainability constraints.
method Dynamic utility model, stochastic domain, overlapping generations, time-consistent decision criterion.
result Optimal investment/pension policy computed for a general framework.

We study the effects of non-systematic and systematic mortality risks on the required initial capital in a pension plan, in the presence of financial risks. We discover that for a pension plan with few members the impact of pooling on the required capital per person is strong, but non-systematic risk diminishes rapidly…

2013-07-30abs ↗pdf ↗

Study finds risk management significantly improves pension scheme efficiency in Kenya.

problem Improving efficiency of pension schemes in Kenya.
method Panel data analysis of 128 pension schemes from 2015-2021.
result Risk management significantly mediates the relationship between corporate governance and pension scheme efficiency.

Currently, pension providers are running into trouble mainly due to the ultra-low interest rates and the guarantees associated to some pension benefits. With the aim of reducing the pension volatility and providing adequate pension levels with no guarantees, we carry out mathematical analysis of a new pension design in…

2019-12-26abs ↗pdf ↗

The study uses ML and AI to forecast pension fund mortality, outperforming traditional methods.

problem Incorporating longevity risk into pension fund financial assessments.
method Employed actuarial learning with ML/AI techniques (regression trees, random forest, boosting, XGBoost, CatBoost, neural networks) on actuarial data.
result ML/AI algorithms outperform the Lee-Carter model in mortality forecasting for pension funds.

Investigates optimal pension policies in PAYG systems with forward utility and ageing population.

problem Optimal investment and pension policies in PAYG systems with sustainability and adequacy constraints.
method Non-zero volatility forward CRRA utilities, closed-form optimal policies, detailed numerical analysis.
result Characterization of optimal policies and detailed impact analysis under various scenarios.

This paper discusses the financial risks faced by the UK Pension Protection Fund (PPF) and what, if anything, it can do about them. It draws lessons from the regulatory regimes under which other financial institutions, such as banks and insurance companies, operate and asks why pension funds are treated differently. It…

2011-03-30abs ↗pdf ↗

New algorithms improve submodular minimization via DC programming.

problem Minimizing the difference of two submodular functions.
method Introducing variants of the DC algorithm (DCA) and its complete form (CDCA) for DC programs corresponding to DS minimization.
result Our algorithms outperform existing baselines on speech corpus selection and feature selection.

Structuring a viable pension plan is a problem that arises in the study of financial contracts pricing and bears special importance these days. Deterministic pension models often rely on projections that are based on several assumptions concerning the "average" long-time behavior of the stock market. Our aim here is to…

2014-07-02abs ↗pdf ↗

This review examines TDFs in Chile's pension reform, recommending dynamic glide paths and diversified benchmarks.

problem Chile's pension system needs to adapt to modern investment strategies.
method Comprehensive review of TDFs, highlighting challenges and opportunities for Chilean regulators and fund managers.
result Dynamic glide paths and diversified benchmarks are recommended for better retirement outcomes.

Study improves pension scheme efficiency in Kenya through governance and risk management.

problem Limited research on efficiency of Kenyan pension schemes under governance structures.
method Quantitative panel regression analysis on 128 Kenyan pension schemes over 7 years.
result Employee board members have a significant positive effect on pension scheme efficiency.

This paper revisits optimal investment strategies for defined contribution pension schemes using forward preferences.

problem Optimal investment strategies derived from backward models are not time-consistent and sub-optimal in real scenarios.
method Introduces forward preferences and solves optimal investment strategies for defined contribution pension schemes.
result Constructs optimal investment strategies for defined contribution pension schemes using forward preferences.

Investment strategies in occupational pension plans are optimized for non-tradable income risk.

problem Optimizing investment strategies for occupational pension plans in the presence of non-tradable income risk.
method Formulated as a stochastic optimization problem, analyzed in both constant and stochastic volatility environments.
result Random contributions induce the optimal glide path structure, influenced by initial wealth, contributions, and risk aversion.

This work builds a sensor graph from DC sensors for anomaly detection.

problem Anomaly detection in data centers with complex sensor relationships.
method Data-driven pipeline (ts2graph) to build a sensor graph from sensor time series.
result Graph neural network (GNN) outperforms existing methods by 2-3 times in anomaly detection.

Optimizes pension fund management under funding risks.

problem Managing DB pension fund under underfunded and overfunded conditions.
method Stochastic model with Ornstein-Uhlenbeck interest rate, geometric Brownian motion for benefits, and cash, bond, stock investments.
result Optimal wealth process, portfolio, and efficient frontier obtained under various tolerance levels for solvency risk.

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.

UK universities pension scheme valuation study shows high dependence on gilt yields.

problem High dependence of UK universities pension scheme on UK government bond yields.
method Analysis of USS valuations from 2014 to 2023, examination of self-sufficiency conditions, and evaluation of metrics.
result Second self-sufficiency condition amplifies gilt yield dependence, leading to inflated liabilities and excessive prudence.

In this paper, we extend the DC Calculus introduced by Perelman on finite dimensional Alexandrov spaces with curvature bounded below. Among other things, our results allow us to define the Hessian and the Laplacian of DC functions (including distance functions as a particular instance) as a measure-valued tensor and a …

2015-05-18abs ↗pdf ↗

This paper compares different DRO formulations for pension fund management.

problem Navigating uncertainty in asset liability management for pension funds.
method Three DRO formulations: mixture, box, and Wasserstein ambiguity sets.
result Wasserstein and box ambiguity sets outperform traditional approaches in fund performance.

We introduce a new pension product that offers retirees the opportunity for a lifelong income and a bequest for their estate. Based on a tontine mechanism, the product divides pension savings between a tontine account and a bequest account. The tontine account is given up to a tontine pool upon death while the bequest …

2019-03-14abs ↗pdf ↗

When will a server fail catastrophically in an industrial datacenter? Is it possible to forecast these failures so preventive actions can be taken to increase the reliability of a datacenter? To answer these questions, we have studied what are probably the largest, publicly available datacenter traces, containing more …

2017-08-14abs ↗pdf ↗

A stochastic model helps maintain insufficiently funded pension funds.

problem Maintaining pension funds that are underfunded and require external financing.
method A time-homogeneous diffusion process with a barrier is used to model the unrestricted reserves value, and a renewal-reward process models the financing effort.
result Expected values and cost evaluations of maintenance are derived, and the approach is applied to a generalized Brownian motion process.