ASSET MANAGEMENT STRATEGIES IN THE CONTEXT OF CLIMATE CHANGE
DOI:
https://doi.org/10.53555/g01wy107Keywords:
Climate risk assessment, sustainable finance, ESG integration, asset resilience, predictive modeling, responsible investmentAbstract
The continuous transformation of global economies due to climate change requires asset management strategies to adapt their approaches toward handling new difficulties and business prospects. Financial models established by tradition are insufficient to measure environmental challenges' effects on long-term investment potential thus sustainability-driven investing develops as an essential strategy. The paper investigates how climate risk evaluation together with ESG fusion and innovative technology works to boost asset resilience levels. Sustainable finance achieves dual success between profitability growth and risk reduction which becomes clearer through examining official guidance regulations market patterns and new financial solutions. A research design that combines both quantitative statistical evaluation and qualitative analysis methods tests the performance of climate-friendly investment strategy methodologies. Investments with ESG elements within their portfolios show superior remaining power across time and lower vulnerabilities to climate disruption events. Companies who want to optimize investment decisions should use predictive modeling and artificial intelligence analytics because analysts recognize these tools as necessary components in today's dynamic economy. Achieving sustainable asset growth depends on regulatory compliance as well as stakeholder collaboration and responsible investment practices according to the discussion. This study confirms that financial institutions need to integrate climate resilience within their asset management systems to obtain economic sustainability in the unpredictable environment of today.
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Copyright (c) 2025 Dr. Poonam Khamar Shah, Jagrutiben Padhiyar
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License
