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Paper Citation Record · LEDGER

Signed network models for dimensionality reduction of portfolio optimization

As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2602.21362.

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pith.paper-citation-record.v1
2602.21362 v2

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measured 59 of 59 reference resolution

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measured 59 of 59 standing notices

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Reference resolution

59 of 59 outbound references displayed

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Outbound references

Observation 6f24d97a-5ecf-4a03-9cb9-6f2d5d7fec2f · outbound

This paper cites Portfolio selection, the journal of finance.

Signed network models for dimensionality reduction of portfolio optimization Portfolio selection, the journal of finance

Reference 1

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Observation 10826e28-7174-4f5f-9374-12ccddf8be9a · outbound

This paper cites Optimal portfolio allocation under higher moments.

Signed network models for dimensionality reduction of portfolio optimization Optimal portfolio allocation under higher moments

Reference 2

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Observation 4551d9f5-d51b-40ce-b7c3-7d25bc1f5ceb · outbound

This paper cites Portfolio selection with higher moments.Quantitative Finance, 10(5):469–485, 2010.

Signed network models for dimensionality reduction of portfolio optimization Portfolio selection with higher moments.Quantitative Finance, 10(5):469–485, 2010

Reference 3

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Observation 6acc59f5-b33e-47f1-be90-f5fe979e808a · outbound

This paper cites Machine learning and portfolio optimization.Management Science, 64(3):1136–1154, 2018.

Signed network models for dimensionality reduction of portfolio optimization Machine learning and portfolio optimization.Management Science, 64(3):1136–1154, 2018

Reference 4

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Observation 973fe898-0cf5-407a-9daa-8b16b2814b90 · outbound

This paper cites Portfolio management with higher mo- ments: the cardinality impact.International Transactions in Operational Research, 26(6):2531– 2560, 2019.

Signed network models for dimensionality reduction of portfolio optimization Portfolio management with higher mo- ments: the cardinality impact.International Transactions in Operational Research, 26(6):2531– 2560, 2019

Reference 5

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Observation 36a1814e-1a74-4abc-9f41-5a8aa2f7f718 · outbound

This paper cites Gainers and losers with higher order portfolio risk optimization.Physica A: Statistical Mechanics and its Applications, 563:125416, 2021.

Signed network models for dimensionality reduction of portfolio optimization Gainers and losers with higher order portfolio risk optimization.Physica A: Statistical Mechanics and its Applications, 563:125416, 2021

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Observation 424c103b-3452-442b-8502-26aad743d53c · outbound

This paper cites Solving high-order portfolios via successive convex approxi- mation algorithms.IEEE Transactions on Signal Processing, 69:892–904, 2021.

Signed network models for dimensionality reduction of portfolio optimization Solving high-order portfolios via successive convex approxi- mation algorithms.IEEE Transactions on Signal Processing, 69:892–904, 2021

Reference 7

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Observation 57c9f1ae-2c3d-4f36-af27-56cea85928aa · outbound

This paper cites A theoretical generalization of the markowitz model incorporating skewness and kurtosis.Quantitative Finance, 23(5):877–886, 2023.

Signed network models for dimensionality reduction of portfolio optimization A theoretical generalization of the markowitz model incorporating skewness and kurtosis.Quantitative Finance, 23(5):877–886, 2023

Reference 8

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Observation df2cd23a-cbf7-4d81-b59c-1a161424cf31 · outbound

This paper cites Pgp for portfolio optimization: application to esg index family.Annals of Operations Research, 347(1):405–417, 2025.

Signed network models for dimensionality reduction of portfolio optimization Pgp for portfolio optimization: application to esg index family.Annals of Operations Research, 347(1):405–417, 2025

Reference 9

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Observation fe9907f4-94f0-46df-9bc8-d8c31a75f2f3 · outbound

This paper cites Some np-complete problems in quadratic and nonlinear programming.

Signed network models for dimensionality reduction of portfolio optimization Some np-complete problems in quadratic and nonlinear programming

Reference 10

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Observation 11359c28-8c5f-4431-b61c-dd20fe18c632 · outbound

This paper cites Optimal versus naive diversification: How inefficient is the 1/n portfolio strategy?The review of Financial studies, 22(5):1915–1953, 2009.

Signed network models for dimensionality reduction of portfolio optimization Optimal versus naive diversification: How inefficient is the 1/n portfolio strategy?The review of Financial studies, 22(5):1915–1953, 2009

Reference 11

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Observation 77dc549e-9229-49fa-9a31-2cbf56f7fa3a · outbound

This paper cites The properties of equally weighted risk contribution portfolios.Journal of portfolio management, 36(4):60, 2010.

Signed network models for dimensionality reduction of portfolio optimization The properties of equally weighted risk contribution portfolios.Journal of portfolio management, 36(4):60, 2010

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Observation e949307a-dd83-44cb-b032-7339275d281d · outbound

This paper cites The 1/n investment strategy is optimal under high model ambiguity.Journal of Banking & Finance, 36(2):410–417, 2012.

Signed network models for dimensionality reduction of portfolio optimization The 1/n investment strategy is optimal under high model ambiguity.Journal of Banking & Finance, 36(2):410–417, 2012

Reference 13

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Observation e92b6145-593c-4e91-8322-94a52b80df6b · outbound

This paper cites The equally weighted portfolio still remains a challenging benchmark.International Economics, 179:100525, 2024.

Signed network models for dimensionality reduction of portfolio optimization The equally weighted portfolio still remains a challenging benchmark.International Economics, 179:100525, 2024

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Observation b3550ffc-a82e-4a1d-97ca-e2e4866c3b62 · outbound

This paper cites Combining the minimum-variance and equally- weighted portfolios: Can portfolio performance be improved?Economic Modelling, 80:260–274, 2019.

Signed network models for dimensionality reduction of portfolio optimization Combining the minimum-variance and equally- weighted portfolios: Can portfolio performance be improved?Economic Modelling, 80:260–274, 2019

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Observation 99f8f622-e94b-4afe-bc8c-90528b542ac4 · outbound

This paper cites A network perspective of the stock market.Journal of Empirical Finance, 17(4):659–667, 2010.

Signed network models for dimensionality reduction of portfolio optimization A network perspective of the stock market.Journal of Empirical Finance, 17(4):659–667, 2010

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Observation 9dea9b95-e87f-45bf-819d-af86fcdbe03b · outbound

This paper cites Hierarchical structure in financial markets.The European Physical Journal B-Condensed Matter and Complex Systems, 11:193–197, 1999.

Signed network models for dimensionality reduction of portfolio optimization Hierarchical structure in financial markets.The European Physical Journal B-Condensed Matter and Complex Systems, 11:193–197, 1999

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Observation 5b84a75f-cafd-4227-a808-f91a37fbb476 · outbound

This paper cites Nets: Network estimation for time series.Journal of Applied Econometrics, 34(3):347–364, 2019.

Signed network models for dimensionality reduction of portfolio optimization Nets: Network estimation for time series.Journal of Applied Econometrics, 34(3):347–364, 2019

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Observation dc7df3aa-7089-40a0-9929-0bf8654a08fd · outbound

This paper cites Correlation analysis and systemic risk measurement of regional, financial and global stock indices.Physica A: Statistical Mechanics and its Applications, 542:122653, 2020.

Signed network models for dimensionality reduction of portfolio optimization Correlation analysis and systemic risk measurement of regional, financial and global stock indices.Physica A: Statistical Mechanics and its Applications, 542:122653, 2020

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Observation a80584a7-ffdd-4c07-98d5-a760acebca65 · outbound

This paper cites Financial network systemic risk contributions.Review of Finance, 19(2):685–738, 2015.

Signed network models for dimensionality reduction of portfolio optimization Financial network systemic risk contributions.Review of Finance, 19(2):685–738, 2015

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Observation cbd86856-074e-418b-b9c8-891ff4cd0a2d · outbound

This paper cites A network approach to portfolio selection.Journal of Empirical Finance, 38:157–180, 2016.

Signed network models for dimensionality reduction of portfolio optimization A network approach to portfolio selection.Journal of Empirical Finance, 38:157–180, 2016

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Observation 54d7a243-56ae-4ec6-aa0f-c89b774a90f2 · outbound

This paper cites Signature-based portfolio allocation: a network approach.Applied Network Science, 9(1):54, 2024.

Signed network models for dimensionality reduction of portfolio optimization Signature-based portfolio allocation: a network approach.Applied Network Science, 9(1):54, 2024

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Observation 97069e5a-cdc5-405d-ab27-ecfc757a0efd · outbound

This paper cites Network science: a useful tool in economics and finance.

Signed network models for dimensionality reduction of portfolio optimization Network science: a useful tool in economics and finance

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Observation de864bf7-cb4e-4573-85b2-268d11ff3846 · outbound

This paper cites Networks in the understanding of economic behaviors.Journal of economic perspectives, 28(4):3–22, 2014.

Signed network models for dimensionality reduction of portfolio optimization Networks in the understanding of economic behaviors.Journal of economic perspectives, 28(4):3–22, 2014

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Observation cad9eff6-6915-4604-a8ee-2e6d385942ec · outbound

This paper cites Systemic risk and stability in financial networks.American Economic Review, 105(2):564–608, 2015.

Signed network models for dimensionality reduction of portfolio optimization Systemic risk and stability in financial networks.American Economic Review, 105(2):564–608, 2015

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Observation 21c03124-fc80-459c-8d95-24377209f2ae · outbound

This paper cites A new method to estimate the noise in financial correlation matrices.Journal of Physics A: Mathematical and General, 36(12):3009, 2003.

Signed network models for dimensionality reduction of portfolio optimization A new method to estimate the noise in financial correlation matrices.Journal of Physics A: Mathematical and General, 36(12):3009, 2003

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Observation dba83027-58b1-4a6d-ba41-185e115ef4b7 · outbound

This paper cites Noise dressing of financial correlation matrices.Physical review letters, 83(7):1467, 1999.

Signed network models for dimensionality reduction of portfolio optimization Noise dressing of financial correlation matrices.Physical review letters, 83(7):1467, 1999

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Observation 44a77fe9-b774-4f14-a23b-33b74dfde7b0 · outbound

This paper cites Noisy covariance matrices and portfolio optimization ii.Physica A: Statistical Mechanics and its Applications, 319:487–494, 2003.

Signed network models for dimensionality reduction of portfolio optimization Noisy covariance matrices and portfolio optimization ii.Physica A: Statistical Mechanics and its Applications, 319:487–494, 2003

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Observation 5e39b599-90ae-46f9-b129-56b4ff530331 · outbound

This paper cites Noise sensitivity of portfolio selection under various risk measures.Journal of Banking & Finance, 31(5):1545–1573, 2007.

Signed network models for dimensionality reduction of portfolio optimization Noise sensitivity of portfolio selection under various risk measures.Journal of Banking & Finance, 31(5):1545–1573, 2007

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Observation 1137e726-ebf4-4a67-8a0b-c4a02bcc206b · outbound

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Signed network models for dimensionality reduction of portfolio optimization The effects of errors in means, variances, and correlations on the mean-variance framework.Quantitative Finance, 22(10):1893–1903, 2022

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Observation a919a579-2e67-4194-95c3-8fd378987a6f · outbound

This paper cites Partial correlation financial networks.Applied Net- work Science, 5(1):11, 2020.

Signed network models for dimensionality reduction of portfolio optimization Partial correlation financial networks.Applied Net- work Science, 5(1):11, 2020

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Observation d887b832-170b-4fe6-90a4-000fe3fa4c32 · outbound

This paper cites Forecasting financial market structure from network features using machine learning.

Signed network models for dimensionality reduction of portfolio optimization Forecasting financial market structure from network features using machine learning

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This paper cites Shrinkage estimation with reinforcement learning of large variance matrices for portfolio selection.Intelligent Systems with Applications, 17:200181, 2023.

Signed network models for dimensionality reduction of portfolio optimization Shrinkage estimation with reinforcement learning of large variance matrices for portfolio selection.Intelligent Systems with Applications, 17:200181, 2023

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This paper cites Signed network models for portfolio optimization.arXiv preprint arXiv:2510.05377, 2025.

Signed network models for dimensionality reduction of portfolio optimization Signed network models for portfolio optimization.arXiv preprint arXiv:2510.05377, 2025

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Observation b1693ef5-4594-4f20-af7a-e04d377eca47 · outbound

This paper cites Portfolio optimization with digitized counterdiabatic quantum al- gorithms.Physical Review Research, 4(4):043204, 2022.

Signed network models for dimensionality reduction of portfolio optimization Portfolio optimization with digitized counterdiabatic quantum al- gorithms.Physical Review Research, 4(4):043204, 2022

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Observation 5e577b03-61e1-41bc-8890-85d59adb3f43 · outbound

This paper cites Train-and-scaling the quantum alternating operator ansatz to solve portfolio diversification.

Signed network models for dimensionality reduction of portfolio optimization Train-and-scaling the quantum alternating operator ansatz to solve portfolio diversification

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Observation eff7b63a-14c6-48ac-ac46-39e5321bc66e · outbound

This paper cites The Lie Algebra of XY-mixer Topologies and Warm Starting QAOA for Constrained Optimization.

Signed network models for dimensionality reduction of portfolio optimization The Lie Algebra of XY-mixer Topologies and Warm Starting QAOA for Constrained Optimization

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source=pdf_text observed=2026-08-02T21:13:56.400281Z digest=sha256:165795a6394587ad014da10b6ad1ad8b39f33833ee83fd7de91627feb4377801

Observation 153ea726-a697-43da-9a95-8e884f5c7e12 · outbound

This paper cites Scaling Portfolio Diversification with Quantum Circuit Cutting Techniques.

Signed network models for dimensionality reduction of portfolio optimization Scaling Portfolio Diversification with Quantum Circuit Cutting Techniques

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source=pdf_text observed=2026-08-02T21:13:56.562889Z digest=sha256:c92ffa9105cfdf9567a8af56381dc53bdaf05b7b70a8845392890135081ff9ae

Observation b23898f0-309f-45eb-9c76-4f369c8ddb5d · outbound

This paper cites Best practices for portfolio optimization by quantum computing, experimented on real quantum devices.Scientific Reports, 13(1):19434, 2023.

Signed network models for dimensionality reduction of portfolio optimization Best practices for portfolio optimization by quantum computing, experimented on real quantum devices.Scientific Reports, 13(1):19434, 2023

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Observation e71cab1b-8d02-44a4-bdfd-7d754b1edffa · outbound

This paper cites A mathematical bibliography of signed and gain graphs and allied areas.

Signed network models for dimensionality reduction of portfolio optimization A mathematical bibliography of signed and gain graphs and allied areas

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source=pdf_text observed=2026-08-02T21:13:56.693069Z digest=sha256:34a87eb4da8cb5fab7b94603b2466e330df344ab20748b24c09f9c13204f9a76

Observation a54d2669-4f4f-4cde-9688-4e694a258afa · outbound

This paper cites Structural balance: a generalization of heider’s theory.

Signed network models for dimensionality reduction of portfolio optimization Structural balance: a generalization of heider’s theory

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source=pdf_text observed=2026-08-02T21:13:56.753459Z digest=sha256:d83b64e15299a76cf93cfb157485109a6f9c57ef19aa054b6a544688fe3157a0

Observation 2d9929b9-9173-41cf-bca0-35eb2cc70680 · outbound

This paper cites On the notion of balance of a signed graph.Michigan Mathematical Journal, 2(2):143–146, 1953.

Signed network models for dimensionality reduction of portfolio optimization On the notion of balance of a signed graph.Michigan Mathematical Journal, 2(2):143–146, 1953

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source=pdf_text observed=2026-08-02T21:13:56.804490Z digest=sha256:c81f19549055bda5d2fbe2035e0c5604387696a4185ba9640a9f139b4540efca

Observation 35f8ca27-35a2-4cd7-bfc2-b3958ce4235b · outbound

This paper cites Balance and frustration in signed networks.Journal of Complex Networks, 7(2):163–189, 2019.

Signed network models for dimensionality reduction of portfolio optimization Balance and frustration in signed networks.Journal of Complex Networks, 7(2):163–189, 2019

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source=pdf_text observed=2026-08-02T21:13:56.886916Z digest=sha256:6a3c55cde0cdb7be53f6129dfb8a8003e08cd77ec8093109e15b788bf4cf5353

Observation 61c13e6f-827e-42f0-bb6a-0a978b4b0d5c · outbound

This paper cites Measuring the balance of signed networks and its application to sign prediction.Journal of Statistical Mechanics: Theory and Experiment, 2017(6):063302, 2017.

Signed network models for dimensionality reduction of portfolio optimization Measuring the balance of signed networks and its application to sign prediction.Journal of Statistical Mechanics: Theory and Experiment, 2017(6):063302, 2017

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source=pdf_text observed=2026-08-02T21:13:56.959205Z digest=sha256:b4c543c1543f421490eb6eb3ea8aa2c654427b565543f2e4fde000353f1d9ef6

Observation 03aa4c53-9037-4ad6-b408-9516c0b39486 · outbound

This paper cites PhD thesis, Institute of Cross-Disciplinary Physics and Complex Systems, IFISC, 2025.

Signed network models for dimensionality reduction of portfolio optimization PhD thesis, Institute of Cross-Disciplinary Physics and Complex Systems, IFISC, 2025

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Observation bbf99e43-6f25-432a-9796-b6791270385b · outbound

This paper cites Signed graphs for portfolio analysis in risk management.IMA Journal of management mathematics, 13(3):201–210, 2002.

Signed network models for dimensionality reduction of portfolio optimization Signed graphs for portfolio analysis in risk management.IMA Journal of management mathematics, 13(3):201–210, 2002

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source=pdf_text observed=2026-08-02T21:13:57.096823Z digest=sha256:4c90bdb0c203a909f30e9af1aafa723a282c30d00a79666e3312d4f62775c5c5

Observation 47711786-493a-48d4-b62f-1966ba4c8b01 · outbound

This paper cites Separator-based data reduction for signed graph balancing.Journal of combinatorial optimization, 20(4):335–360, 2010.

Signed network models for dimensionality reduction of portfolio optimization Separator-based data reduction for signed graph balancing.Journal of combinatorial optimization, 20(4):335–360, 2010

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source=pdf_text observed=2026-08-02T21:13:57.151551Z digest=sha256:5f0b4b058b864e1d7bc5e845b1d493f4ec6358c887d32917d6849a746f140d26

Observation 13d10082-f83e-4108-afa6-2e630255edbf · outbound

This paper cites The structure of stock markets as signed networks.Journal of Industrial and Systems Engineering, 13(1):136–146, 2020.

Signed network models for dimensionality reduction of portfolio optimization The structure of stock markets as signed networks.Journal of Industrial and Systems Engineering, 13(1):136–146, 2020

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source=pdf_text observed=2026-08-02T21:13:57.190884Z digest=sha256:d61e4b564a652f5f954f7eb58a0c1724b7c9f73acc3cfd965329adf0dcf93f58

Observation d11b4eaf-8dd9-4d46-a339-bea7760a2101 · outbound

This paper cites The maximum balanced subgraph of a signed graph: Appli- cations and solution approaches.European Journal of Operational Research, 236(2):473–487, 2014.

Signed network models for dimensionality reduction of portfolio optimization The maximum balanced subgraph of a signed graph: Appli- cations and solution approaches.European Journal of Operational Research, 236(2):473–487, 2014

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source=pdf_text observed=2026-08-02T21:13:57.243823Z digest=sha256:35de60a78f002f82a25a4bd372ceb32b8691809b806d0538a72dc182da435122

Observation 79341e83-0d1c-4df2-a43a-e3bb91605ded · outbound

This paper cites Applications of signed graphs to portfolio turnover analysis.Procedia-Social and Behavioral Sciences, 211:1203–1209, 2015.

Signed network models for dimensionality reduction of portfolio optimization Applications of signed graphs to portfolio turnover analysis.Procedia-Social and Behavioral Sciences, 211:1203–1209, 2015

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Observation e3f20d3d-825e-4fe7-a87f-f44112aa764b · outbound

This paper cites Global balance and systemic risk in financial correlation networks.Physica A: Statistical Mechanics and its Applications, page 130698, 2025.

Signed network models for dimensionality reduction of portfolio optimization Global balance and systemic risk in financial correlation networks.Physica A: Statistical Mechanics and its Applications, page 130698, 2025

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source=pdf_text observed=2026-08-02T21:13:57.484690Z digest=sha256:9f03a2735dfbdd4fa69796a5e2d05795680dafa20ec0f8f29f8fadde8ab2efa6

Observation 9a44280e-1af4-4d9c-b4fc-3255102c876c · outbound

This paper cites Introduction to corre- lation networks: Interdisciplinary approaches beyond thresholding.Physics Reports, 1136:1–39, 2025.

Signed network models for dimensionality reduction of portfolio optimization Introduction to corre- lation networks: Interdisciplinary approaches beyond thresholding.Physics Reports, 1136:1–39, 2025

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Observation a3846733-8a1e-49e0-a576-78f39697d5ef · outbound

This paper cites A survey on gaps between mean-variance approach and exponential growth rate approach for portfolio optimization.ACM Computing Surveys (CSUR), 55(2):1–36, 2022.

Signed network models for dimensionality reduction of portfolio optimization A survey on gaps between mean-variance approach and exponential growth rate approach for portfolio optimization.ACM Computing Surveys (CSUR), 55(2):1–36, 2022

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source=pdf_text observed=2026-08-02T21:13:57.734248Z digest=sha256:69accc0dc3b97c8356f1379eccad986ccd33d7f60c5219086208b241acdf57e1

Observation a588af5a-c9aa-4e0e-8854-28d86fa64e5c · outbound

This paper cites Cambridge university press, 1999.

Signed network models for dimensionality reduction of portfolio optimization Cambridge university press, 1999

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source=pdf_text observed=2026-08-02T21:13:57.870648Z digest=sha256:122757017b1f30dfef9b334038b7d76d9aa241fe2475840cc552c59674ab8b1f

Observation 04ebcd71-ba7a-4293-aa1a-49cf92798788 · outbound

This paper cites Generalized autoregressive conditional heteroskedasticity.Journal of economet- rics, 31(3):307–327, 1986.

Signed network models for dimensionality reduction of portfolio optimization Generalized autoregressive conditional heteroskedasticity.Journal of economet- rics, 31(3):307–327, 1986

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source=pdf_text observed=2026-08-02T21:13:57.986543Z digest=sha256:b2aefcf19d042e2e10c402be48f5e79e99811e8a02d7780d987c0a988b13d7c9

Observation c6921643-3c2b-4b80-a5e7-9089f22c6455 · outbound

This paper cites Autoregressive conditional heteroscedasticity with estimates of the variance of united kingdom inflation.Econometrica: Journal of the econometric society, pages 987–1007, 1982.

Signed network models for dimensionality reduction of portfolio optimization Autoregressive conditional heteroscedasticity with estimates of the variance of united kingdom inflation.Econometrica: Journal of the econometric society, pages 987–1007, 1982

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source=pdf_text observed=2026-08-02T21:13:58.107961Z digest=sha256:6f30fba1601b501b43e7220461d6c971fee436003d86118efec021e03e738ae5

Observation 07d20345-ecc4-4858-ac5e-02949b5a606a · outbound

This paper cites Is gold a hedge or a safe haven? an analysis of stocks, bonds and gold.Financial review, 45(2):217–229, 2010.

Signed network models for dimensionality reduction of portfolio optimization Is gold a hedge or a safe haven? an analysis of stocks, bonds and gold.Financial review, 45(2):217–229, 2010

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source=pdf_text observed=2026-08-02T21:13:58.186861Z digest=sha256:479743d9dac9be9a3147a4b1a1c2456364f798a4593d88614d1f5f6026de8f32

Observation 79efe2db-c69a-4ec1-96b2-3b0349e37ebf · outbound

This paper cites The k-clique densest subgraph problem.

Signed network models for dimensionality reduction of portfolio optimization The k-clique densest subgraph problem

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source=pdf_text observed=2026-08-02T21:13:58.281706Z digest=sha256:f3e63ccf89d0233b77b821537464d162f95c2f7ff010fdcf6709e821b22d9485

Observation 06fad5ae-7d8e-4a09-8ed7-f7fbcbb66b5a · outbound

This paper cites Reducibility among combinatorial problems.

Signed network models for dimensionality reduction of portfolio optimization Reducibility among combinatorial problems

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source=pdf_text observed=2026-08-02T21:13:58.440850Z digest=sha256:3b9bfdae06c5c2c6a22c7d369c45ebdb58f0ba3a4e9b33088cef91d611a09ed3

Pith citing papers

No inbound Pith citation observations are available.