INNOVATIVE APPROACHES TO RISK MANAGEMENT AND ASSESSMENT OF INVESTMENT PROJECTS IN THE DIGITAL ECONOMY

INNOVATIVE APPROACHES TO RISK MANAGEMENT AND ASSESSMENT OF INVESTMENT PROJECTS IN THE DIGITAL ECONOMY

Authors

  • Muxitdinova Kamola Alisherovna

DOI:

https://doi.org/10.5281/zenodo.17622426

Keywords:

digital economy, investment projects, evaluation, digital twins, risk, capital cost

Abstract

This article analyzes innovative approaches to managing and assessing investment project risks in the context
of the digital economy. The study compares methods that became widely adopted between 2020 and 2024, including
AI-based forecasting, real-time risk monitoring, digital twins, portfolio optimization, and scenario-based stress testing, with
empirical performance indicators. As a methodological foundation, a mixed approach integrating quantitative modeling
and qualitative analysis is applied. The results demonstrate that digital risk analytics tools help stabilize investment project
NPV/IRR indicators, reduce schedule deviation probabilities, and manage uncertainties related to capital cost

Author Biography

Muxitdinova Kamola Alisherovna

Doctor of Economic Sciences (DSc), Acting Professor
Tashkent State Technical University


References

ISO. (2018). ISO 31000: Risk management — Guidelines.

COSO. (2017). Enterprise Risk Management—Integrating with Strategy and Performance.

Damodaran, A. (2021). The Dark Side of Valuation. Pearson.

Brealey, R., Myers, S., & Allen, F. (2020). Principles of Corporate Finance. McGraw-Hill.

Brandimarte, P. (2021). Handbook in Monte Carlo Simulation. Wiley.

Glasserman, P. (2013). Monte Carlo Methods in Financial Engineering. Springer.

Trigeorgis, L., & Reuer, J. (2017). Real Options Theory in Strategic Management. Strategic Management Journal.

Jorion, P. (2007). Value at Risk: The New Benchmark. McGraw-Hill.

Hull, J. (2022). Options, Futures, and Other Derivatives. Pearson.

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Published

2025-11-01

How to Cite

Muxitdinova , K. (2025). INNOVATIVE APPROACHES TO RISK MANAGEMENT AND ASSESSMENT OF INVESTMENT PROJECTS IN THE DIGITAL ECONOMY. Innovation Science and Technology, 1(11). https://doi.org/10.5281/zenodo.17622426
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