Financial Risk Management in Uncertain Times

30 Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 241 Financial Risk Management in Uncertain Times Jaismeen Kaur1, Dr. Sonia2, Seben Singh3 1,2Assistant professor, Department of Commerce, Baba Farid College of Engineering & Technology, Bathinda. 3 Student, Department of Commerce, Baba Farid College of Engineering & Technology, Bathinda. Abstract The task of financial risk management has gained prominence in the present cut throat and unstable world. Market fluctuations, geo-political tensions, Pandemics, inflation pressures, and technological breakdown are more threatening than ever to businesses, governments, and financial institutions. In this paper, based on an analysis of both traditional and new approaches to risk management, previous crisis findings, and how institutions are managing to be resilient, financial risk management under uncertainty will be discussed. Among the central tasks there is the determination of the core categories of financial risks, investigation of the way of their management in the case of a crisis, and suggestion of the strategies to enhance the response to risks. Whereas hedging, diversity and regulatory compliance are familiar tools, emergent ones on the data analytics, AI and analysis of scenarios will play a greater role. This paper summarizes with a recommendation of how risk frameworks can be enhanced particularly in emerging economies as well as the SMEs, and the necessity to be dynamic in a fast evolving financial world. Keywords: Financial risk management, Market fluctuations, geo-political tensions, Pandemics, inflation pressures, technological breakdown. 1. Introduction There has never been any doubt that financial markets were associated with uncertainty. But in recent decades both the number and severity of international 242 Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways financial shaking occurrences have grown tremendously. The crisis in global financial system in 2008, the COVID-19 pandemic, the continuing RussiaUkraine conflict, increasing inflation, etc have made it clear that there are defects in the financial systems. Financial risk management (FRM) becomes crucial in those moments. It can be materialized in terms of financial risk management that is the identification, analysis, and countering of risks that are connected with financial assets, liabilities, and operations (Hull, 2018). It becomes critical at the time of instability when unexpected shocks may trigger derailment of even the most stable institutions. Unpredictability is the main feature of uncertain times and may be provoked by both internal and external motives: economic slowdown, regulations, pandemics, technological disruptions, or even natural disasters. Such hiccups tend to interfere with the financial performance and investor confidence, and this is why active risk management is key to survival and sustainability. Banks, companies, and investors have to first proceed in regulating credit risk, market risk, operational risk, liquidity risk, and reputational risk, which all intensify in the case of a crisis. In such times effective risk management requires a strategic and dynamic model as opposed to reactive model and compliance based one. 2. Objectives This study aims mainly to: 1. To detect some significant financial risks, which appear in uncertain periods. 2. To discuss ancient and current risk management models. 3. In order to examine how regulatory frameworks reduce financial risks. 4. To evaluate real life cases studies of risk management in the light of financial crises. 5. In order to measure the shortcomings of the existing financial risk management processes. 6. To propose the enhancement of the FRM systems, particularly of vulnerable sectors. Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 243 3. Literature Review The history of the financial risk management (FRM) has been closely related to the intricacies of the financial system of the world. Researchers and practitioners have been eager to find how financial risks could be predicted, contained, and averted, especially at times when uncertainty is more intensive than usual. Literature on FRM is varied and one can find literature on the very basics, theories of FRM as well as on the recent applications of the technology. Among the first and most influential inputs on FRM is Modern Portfolio Theory (MPT) by Markowitz, which also focuses on portfolio diversification in order to reduce the risk in portfolio (Markowitz, 1952). In this theory, investors should want to obtain the best returns possible by narrowing a mix of assets to achieve a better result that results in having exposure to less asset volatility. Although MPT has been main-streamed to involve investment portfolios, the concept of diversification has been further applied to formulate corporate risk management strategies. Valued at Risk (VaR) is invented in 1990s, and it signifies a jump in the quantitative risk measurement of finance. It estimates the possible reduction in value of a portfolio during a specified time on which the confidence interval is based. VaR came into the limelight after the adoption by JP Morgan and regulation agencies through the Basel Accords. Nevertheless, critics like Taleb (2007) suggest that VaR overestimates the probability of extreme events or what he calls “black swan” risks because VaR ignores extreme events when they occur most often, in times of crises and because VaR under-prices the correlations between assets when the spread of correlations is unpredictably high. The Basel Accords (I, II and III) are an international initiative to increase the banking system vigor by determining the level of capitalization and the measuring of risks assets. Basel II brought to the regulation the notion of operation risk, whereas Basel III was introduced after the 2008 financial crisis and implies the increased liquidity coverage is considered and also the leverage ratio (BIS, 2017). Allen, Carletti, and Marquez (2011) pointed out that despite the need to have these frameworks so as to meet existing risks, they usually run behind the financial innovation curve resulting into loopholes in covering risks. 244 Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways Financial risk literature reached a milestone in the face of the global financial crisis (GFC) that occurred in 2008. The inability of the institutions to acknowledge interlinked risks and over borrowing is underscored by the scholars like Stulz (2009) and Brunnermeier (2009). The use of credit default swaps (CDS) and the mortgage backed securities (MBS) in a reckless manner reflected the systemic risk and the risks of obscure financial tools. According to Gennaioli, Shleifer and Vishny (2012), an excessive level of optimism and as well as overdependence on short term indicators led to the breakdown, highlighting the necessity to incorporate behavioural finance in risk modelling. Behavioural risk theory incorporates psychological aspects in the conventional models. According to Kahneman and Tversky (1979), the Prospect Theory advanced that people and managers usually make irrational choices when faced with uncertainty as they tend to overestimate losses and underestimate gains. This aspect affects the action in uncertain situations which is taking of highly conservative or overly risky matters without the proper analysis. The literature of risk management has also been affected greatly in more recent years as a result of changing technology. Machine learning, big data analytics and block chain are the tools that are gaining traction in FRM practices. KPMG (2022) indicate that artificial intelligence (AI) allows institutions to identify any anomaly, determine credit risk more accurately, and perform stress testing in real-time. In line with the above, according to Deloitte (2021), AI decreases the human bias and improves scenario modelling, which can be of great use in unpredictable situations such as pandemics or geopolitical conflicts. The coronavirus caused the next round of financial risk publications. The pandemic demonstrated enormous weaknesses present in international supply chains, liquidity systems, and continuity of operations (Zhang, Hu, and Ji, 2020). This compelled corporations and financial enterprises to embrace digital risk management and give importance to operational survival and financial performance. COVID-19 also revealed how willing but ineffective linear risk models are based on the premise that other sectors could not be affected by a multi-shock demand and supply shock at the same time. Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 245 Another rising field of FRM literature is cyber risk. The risk of cyberattacks and the leak of information has become a significant source of financial loss with the escalated rate of digitization. Financial services have become the notable industry where risk managers are supposed to be more incorporative of cybersecurity as a component of enterprise risk management (PwC 2021). New multi-layered approaches consisting of encryption, staff education, and complying with regulations, such as GDPR and ISO 27001, are included in the practice of cyber risk management. The other critical contribution would be the enterprise risk management (ERM) framework. ERM fosters a unifying perspective of risk that is incorporated in the strategic planning and governance (Lam, 2014). Compared to the siloed methods where financial, operational, and compliance risks are handled differently, ERM links the respective areas so that decisions made in a particular department direct the departments effectively. The argument made by scholars is that ERM fosters firm performance in times of crisis due to promotion of communication and culture of risk. Emerging markets and the financial risk challenges in such markets are also the increasing topic of literature. These economies are frequently faced with the underdeveloped financial system, poor regulatory environment and absence of the means of protecting against risks. Beck, Demirguc-kunt, and Levine (2003) represent these obstacles as it increases systemic shocks in developing economies. These weaknesses have been further fueled by COVID-19 pandemic and the changing nature of commodity prices as explained by IMF (2021). 4. Findings After the analysis of several crises and scientific research on financial risk management, it is concluded that the following findings take place: 1. Risk Sensitivity will be Greater in Crisis: The organizations and the investors will become more cautious in times where nobody knows what to expect. This increased sensitivity is moving investment portfolios, investing decisions, and operation priorities. 246 Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 2. The Problem of Liquidity emerges as a Major Factor: Liquidity issues are the main issue that even stable companies encountered during such aftershocks as the COVID-19 pandemic. It is essential to have reserves of cash or the possibility of credit (Borio, 2020). 3. Stress Testing Becomes Valuable: Those financial institutions that commonly practice stress testing are more well versed. Both the Reserve Bank of India and the Federal Reserve introduced compulsory stress test following the crisis of 2008 (RBI, 2021). 4. Portfolio Diversification is Working: As the world gets more and more complicated, diversification of portfolio still remains a good risk diversification strategy, and it is better at minimizing exposure to volatility of particular assets (Markowitz, 1952). 5. Increase of cyber and operational Risks: Unpredictable situations usually bring an increase in cyberattacks and operational failures. This has caused the institutions to incorporate cybersecurity in risk management strategies (PwC, 2021). 6. Emerging markets are less likely to resist: Nations with little regulatory control and financial infrastructure in place will suffer more in times of crisis. The situation is further aggravated by lack of availability of financial instruments to feed on hedging and insurance. 5. Drawbacks Although there are improvements in the financial risk management systems, there are drawbacks that are essential:  Over reliance on historical data: Most risk models are dependent on historic data which may not be used to determine future interference. As an example, the 2008 crisis was not successfully foreseen since it was not included in the prediction models that systemic things are interconnected.  Complexity of the Financial instrument: Exotic derivatives may even add more risk than eliminate it. When markets collapse, there is a potential of wide-spread destruction due to the lack of transparency behind these instruments. Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 247  Slow Response to Regulations: The regulatory bodies tend to respond to a crisis instead of making proactive actions such as detecting systemic threats. Such stalling has the capability to increase harm.  Disparate implementation: Risk systems have been developed in large institutions of developed countries, but SMEs and companies operating in emerging economies have no access to tools and training.  Poor integration with strategic planning: Risk management in most firms is run as a silo rather than as a part of the corporate level strategy and culture. 6. Conclusion The management of financial risk is no longer a specialized activity but a business and economic pillar of strength. Given the continued growth of uncertainty, as presented by pandemic, inflation, disputes, or climate change, institutions will need to create dynamic, integrated, and proactive risk attitudes. Although some of the traditional instruments like diversification, regulatory compliance have not lost their significance, the emerging options based on use of technology, behavioural finance and real time analytics are changing the face of perceived and managed risks. With a close consideration of the shortcomings of the existing systems as well as through the employment of inclusive and adaptive tactics, both the developed and the developing economies can establish strong barriers against a possible future financial shock. References 1. Bank for International Settlements. (2017). Basel III: Finalising post-crisis reforms. 2. Borio, C. (2020). The COVID-19 economic crisis: Dangerously unique. BIS Quarterly Review, September 2020. 3. Hull, J. C. (2018). Risk management and financial institutions (5th ed.). Wiley. 4. KPMG. (2022). Emerging trends in financial risk management. 5. Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91. 6. PwC. (2021). Global risk study: Managing risk in the age of disruption. 7. Reserve Bank of India. (2021). Financial Stability Report: January 2021. 8. Zhang, D., Hu, M., & Ji, Q. (2020). Financial markets under the global pandemic of COVID-19. Finance Research Letters, 36, 101528.