Macroeconomic and Global Financial Determinants of NIFTY 50 Volatility in India: Evidence from Monetary Policy, Exchange Rate, Capital Flows and Global Uncertainty
This study employs GARCH-family models on high-frequency data from 2015 to 2026 to analyze how domestic monetary policy, exchange rates, capital flows, and global uncertainty drive NIFTY 50 volatility across distinct economic regimes, including the pre-pandemic era, the COVID-19 shock, global monetary tightening, and recent geopolitical developments.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
The world of finance is often imagined as a place where money moves in straight lines, flowing from savings to investments based on simple calculations of profit. In reality, the global financial system is a vast, interconnected web where a decision made in one country can send ripples across the ocean, altering the value of stocks in another. For an emerging economy like India, this web is particularly intricate. The country's stock market does not just react to local news or the decisions of its own central bank; it is also deeply sensitive to the mood of investors in New York, the stability of the US dollar, and the uncertainty of global trade policies. When these external forces shift, they can cause the Indian market to become jittery, with prices swinging wildly from day to day. Understanding why these swings happen is crucial, not just for investors, but for anyone interested in how a nation's economic health is maintained in an increasingly unstable world.
A recent study by Sidharth Kumar, a researcher at Veer Kunwar Singh University, sets out to untangle these complex threads. The focus is the NIFTY 50, a benchmark index that tracks the performance of the fifty largest and most liquid companies listed on India's National Stock Exchange. Rather than simply asking why the index goes up or down, the research asks a deeper question: what causes the market to become volatile, or unstable? The study examines a specific period from 2015 through 2026, a timeframe that includes the calm before the pandemic, the chaotic shock of the global health crisis, the aggressive interest rate hikes that followed, and the shifting geopolitical landscape of the mid-2020s. By looking at this extended timeline, the researcher aims to see if the rules of the market change depending on the era, and whether domestic factors or global forces play the dominant role in creating fear and uncertainty among investors.
To answer this, the study built a detailed picture using four main ingredients. First, it looks at India's domestic monetary policy, specifically the interest rate decisions made by the Reserve Bank of India. These rates act as the cost of borrowing money; when they change, they alter how attractive stocks are compared to safer assets like bonds. Second, the research tracks the exchange rate between the Indian rupee and the US dollar. Because many Indian companies do business globally, a change in the value of their currency can directly impact their profits and how foreign investors view their worth. Third, the study analyzes the flow of foreign portfolio investment, which represents the money that international investors move in and out of Indian stocks. Finally, it measures the level of global uncertainty, using two distinct tools: one that gauges anxiety about government policies worldwide, and another that measures the fear of volatility in the US stock market itself.
The researcher uses a sophisticated statistical approach to model how these factors interact. Instead of treating the market as a static object, the analysis treats volatility as a living thing that clusters and persists, meaning that a day of wild swings is often followed by more wild swings. The study tests whether changes in interest rates, currency values, foreign money flows, or global fear are the triggers for these clusters of instability. It also checks if these triggers behave differently during the four distinct periods identified in the timeline. For instance, the research investigates whether a change in the US dollar affected the Indian market in the same way during the pandemic as it did during the subsequent period of global inflation and rate hikes.
The study is designed to determine if the Indian stock market's volatility is driven by a single cause or by a complex interplay of domestic and international forces. It seeks to evaluate whether domestic monetary policy, the movement of the rupee against the dollar, the ebb and flow of foreign investment, and global uncertainty all leave a measurable mark on how unstable the market becomes. However, the strength of these connections is not assumed to be constant. The research aims to find out if the relationship between these factors and market volatility shifts depending on the economic environment. During times of global stress, such as the pandemic or periods of aggressive monetary tightening in advanced economies, the study investigates whether the market becomes more sensitive to external shocks and if global uncertainty amplifies the impact of domestic changes, making the market more reactive to news from both home and abroad.
Crucially, the study does not claim that one factor is the sole villain or hero. It rejects the idea that volatility is caused by just one thing, such as a change in interest rates or a sudden drop in foreign investment. Instead, it presents a unified framework where these elements are examined together to see how they work in concert. The research emphasizes that while the study will identify statistical links, these represent associations within the specified econometric framework rather than absolute, unchangeable laws of cause and effect. The magnitude of the effect is expected to change with the times. For example, the way foreign investors react to a change in the exchange rate might differ during a crisis compared to a period of stability. The study's use of high-frequency daily data allows for a precise look at these dynamics, capturing the immediate reactions of the market that lower-frequency data might miss.
Ultimately, this work aims to provide a clearer map of the forces that shake India's financial markets. It suggests that in an integrated global economy, a nation's financial stability cannot be understood by looking at its own policies in isolation. The Reserve Bank of India's decisions, the value of the rupee, the appetite of foreign investors, and the mood of the global economy are all threads in the same tapestry. When one pulls, the others move. For policymakers and market participants, the lesson is that monitoring financial stability requires watching both the domestic horizon and the global weather. The study seeks to confirm whether India has its own internal economic rhythms or if the beat of the global drum is loud enough to change the rhythm of the entire system, and understanding that connection is key to navigating the future of financial markets.
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