Investment herding can reduce household consumption, a phenomenon called crowding-out effect.
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Modeling consumption and investment decisions with reference point and drawdown constraints.
This paper studies a composite problem involving the decision making of the optimal entry time and dynamic consumption afterwards. In stage-1, the investor has access to full market information subjecting to some information costs and needs to choose an optimal stopping time to initiate stage-2; in stage-2, the investo…
Study optimal investment and consumption strategies with various transaction costs.
Paper tackles non-monotonic resource utilization in sequential decision-making.
Study optimal investment and consumption in incomplete markets with nonlinear expectations.
Study shows bifurcation in optimal retirement planning.
A continuous-time consumption-investment model with constraint is considered for a small investor whose decisions are the consumption rate and the allocation of wealth to a risk-free and a risky asset with logarithmic Brownian motion fluctuations. The consumption rate is subject to an upper bound constraint which linea…
New attacks exploit neural network energy and latency, increasing costs by 10-200x.
RNN(p) improves power consumption forecasts with interpretable models.
Consider an agent taking two successive decisions to maximize his expected utility under uncertainty. After his first decision, a signal is revealed that provides information about the state of nature. The observation of the signal allows the decision-maker to revise his prior and the second decision is taken according…
Investigates optimal consumption and investment using alternative data sources.
In this paper, optimal consumption and investment decisions are studied for an investor who can invest in a fixed interest rate bank account and a stock whose price is a log normal diffusion. We present the method of the HJB equation in order to explicitly solve problems of this type with modifications such as a fixed …
In this article we solve the problem of maximizing the expected utility of future consumption and terminal wealth to determine the optimal pension or life-cycle fund strategy for a cohort of pension fund investors. The setup is strongly related to a DC pension plan where additionally (individual) consumption is taken i…
Study optimal investment and consumption strategies for competitive agents with habit formation.
We propose a new approach to utilities that is consistent with state-dependent utilities. In our model utilities reflect the level of consumption satisfaction of flows of cash in future times as they are valued when the economic agents are making their consumption and investment decisions. The theoretical framework use…
In this paper, we investigate an optimal investment and consumption problem for an investor who trades in a Black--Scholes financial market with stochastic coefficients driven by a non-Gaussian Ornstein--Uhlenbeck process. We assume that an agent makes investment and consumption decisions based on a power utility funct…
Investigates optimal life insurance and annuity decisions in inflationary economies.
Study examines how liquidity constraints impact optimal retirement decisions.
Unified framework explains retirement and annuitization decisions under age-dependent mortality.
This paper optimizes revenue and resource balance in network revenue management.
Deep neural network optimizes retirement consumption in defined contribution pensions.
We consider an optimal investment and consumption problem for a Black-Scholes financial market with stochastic coefficients driven by a diffusion process. We assume that an agent makes consumption and investment decisions based on CRRA utility functions. The dynamical programming approach leads to an investigation of t…
Study a continuous-time PA problem with private effort and consumption decisions.
Bitcoin reacts negatively to inflation surprises, contrary to belief.
In a continuous time stochastic economy, this paper considers the problem of consumption and investment in a financial market in which the representative investor exhibits a change in the discount rate. The investment opportunities are a stock and a riskless account. The market coefficients and discount factor switches…
Decision tool helps manage biofouling risks for ships in the Baltic Sea.
A smart method predicts and optimizes decisions online with resource constraints.
This paper first describes a class of uncertain stochastic control systems with Markovian switching, and derives an Itô-Liu formula for Markov-modulated processes. And we characterize an optimal control law, which satisfies the generalized Hamilton-Jacobi-Bellman (HJB) equation with Markovian switching. Then, by using …
Investors adjust spending based on a social norm, spending less during losses and more during gains.
This paper extends the classical consumption and portfolio rules model in continuous time (Merton 1969, 1971) to the framework of decision-makers with time-inconsistent preferences. The model is solved for different utility functions for both, naive and sophisticated agents, and the results are compared. In order to so…
This paper considers the problem of consumption and investment in a financial market within a continuous time stochastic economy. The investor exhibits a change in the discount rate. The investment opportunities are a stock and a riskless account. The market coefficients and discount factor switch according to a finite…
Two critical questions about intergenerational outcomes are: one, whether significant barriers or traps exist between different social or economic strata; and two, the extent to which intergenerational outcomes do (or can be used to) affect individual investment and consumption decisions. We develop a model to explicit…
Paper proposes a new method to select memory data for online class-incremental learning.
Paper examines how income support affects retirement decisions for low-income individuals.
Recommendation systems are ubiquitous and impact many domains; they have the potential to influence product consumption, individuals' perceptions of the world, and life-altering decisions. These systems are often evaluated or trained with data from users already exposed to algorithmic recommendations; this creates a pe…
A DRL approach optimizes resource allocation in BFL to reduce latency and energy consumption.
The accuracy of the household electricity consumption forecast is vital in taking better cost effective and energy efficient decisions. In order to design accurate, proper and efficient forecasting model, characteristics of the series have to been analyzed. The source of time series data comes from Online Enerjisa Syst…
We consider an illiquid financial market with different regimes modeled by a continuous-time finite-state Markov chain. The investor can trade a stock only at the discrete arrival times of a Cox process with intensity depending on the market regime. Moreover, the risky asset price is subject to liquidity shocks, which …
Study optimal retirement time and consumption with habitual persistence.
Proposes a new consumption strategy based on martingale principles.
This paper analyzes popular time-nonseparable utility functions that describe "habit formation" consumer preferences comparing current consumption with the time averaged past consumption of the same individual and "catching up with the Joneses" (CuJ) models comparing individual consumption with a cross-sectional averag…
Study time-inconsistent portfolio optimization for competitive agents with relative performance criteria.
This study examines how fashion consumption affects self-confidence and buying behavior in Iranian consumers.
Predicts next item in sequential bundles using Transformers.
Study optimal consumption for loss-averse agents considering past spending peaks.
Study many-player investment-consumption games with power FPPs, finding market-risk preference affects consumption.
This paper develops a pricing model for data assets from the buyer's perspective.