Reference health

Application of Deep Reinforcement Learning in Asset Liability Management

https://doi.org/10.2139/ssrn.4474207
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20/20 checkable references clean · checked 2026-09-08

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

35 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 20 checked references that resolve
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Deep Reinforcement Learning: A Brief Survey
resolves10.3390/risks8010016
Assessing Asset-Liability Risk with Neural Networks
resolves10.1016/j.iref.2022.06.008
Effects of financial constraints and managerial overconfidence on investment-cash flow sensitivity
resolves10.1016/j.cosrev.2021.100379
A survey on deep learning and its applications
resolves10.3389/frai.2023.1120297
Deep treasury management for banks
resolves10.1108/03074350010766558
Risk management with duration analysis
resolves10.1016/B978-0-08-098240-3.00009-6
Term Structures and Immunization
resolves10.1016/j.neucom.2021.04.027
Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals
resolves10.1162/neco.1997.9.8.1735
Long Short-Term Memory
resolves10.1109/MCOM.2019.1800155
Deep Learning with Long Short-Term Memory for Time Series Prediction
resolves10.1016/j.frl.2004.03.003
Risky coupon bonds as a portfolio of zero-coupon bonds
resolves10.3389/frai.2023.1177702
A case study for unlocking the potential of deep learning in asset-liability-management
resolves10.1007/978-3-031-06685-6_1
Asset and Liability Risk Management in Financial Markets
resolves10.1109/ICRA40945.2020.9196730
Simulation-Based Reinforcement Learning for Real-World Autonomous Driving
resolves10.3102/1076998619872761
Deep Learning With TensorFlow: A Review
resolves10.1109/ASRU.2017.8268932
Syllable-based acoustic modeling with CTC-SMBR-LSTM
resolves10.1017/S0020268100052811
Review of the Principles of Life-office Valuations
resolves10.1016/j.neunet.2019.01.011
Policy search in continuous action domains: An overview
resolves10.1057/gpp.1997.11
Life Insurance Asset-Liability Management: An International Survey
resolves10.1007/978-3-031-12409-9
Statistical Foundations of Actuarial Learning and its Applications
The 35 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedAn lstm network for highway trajectory prediction
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no DOI — not checkedDuration analysis: An historical perspective
no DOI — not checkedBehavioral decision-making in finance: An overview and assessment of selected research / la toma de decisi�n en las finanzas del comportamiento: Estado de la cuesti�n a partir de los trabajos seleccionados
no DOI — not checkedref9
no DOI — not checkedref12
no DOI — not checkedref13
no DOI — not checkedref14
no DOI — not checkedThe four horsemen of machine learning in finance
no DOI — not checkedref20
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no DOI — not checkedref23
no DOI — not checkedExploiting lstm structure in deep neural networks for speech recognition
no DOI — not checkedref26
no DOI — not checkedThe intersection of market and credit risk
no DOI — not checkedref30
no DOI — not checkedModern perspectives on reinforcement learning in finance
no DOI — not checkedref33
no DOI — not checkedref34
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no DOI — not checkedref36
no DOI — not checkedref37
no DOI — not checkedFinancial risk tolerance before and after a stock market shock: Testing the recency bias hypothesis
no DOI — not checkedref44
no DOI — not checkedref45
no DOI — not checkedref46
no DOI — not checkedA survey on lstm memristive neural network architectures and applications
no DOI — not checkedref50
no DOI — not checkedDo investors exhibit behavioral biases in investment decision making? a systematic review
no DOI — not checkedref52
no DOI — not checkedref53
no DOI — not checkedFinancial market analysis for duration and modified duration
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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