The yield on India 10Y Bond Yield eased to 6.52% on December 2, 2025, marking a 0.06 percentage points decrease from the previous session. Over the past month, the yield has fallen by 0.03 points and is 0.24 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. India 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on December of 2025.

The yield on India 30 Year Bond Yield held steady at 7.34% on December 2, 2025. Over the past month, the yield has edged up by 0.09 points and is 0.35 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for India 30Y.

Graph and download economic data for Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for India (INDIRLTLT01STM) from Dec 2011 to Sep 2025 about long-term, India, 10-year, bonds, yield, interest rate, interest, and rate.

The yield on India 6 Month Bond Yield rose to 5.52% on December 2, 2025, marking a 0.02 percentage points increase from the previous session. Over the past month, the yield has fallen by 0.03 points and is 1.06 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for India 6M.

The yield on India 2 Year Bond Yield rose to 5.83% on December 2, 2025, marking a 0.15 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.05 points, though it remains 0.80 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for India 2Y.

The dataset contains All India Yearly External Debt from Handbook of Statistics on Indian Economy. IDBs : India Development Bonds FCCBs : Foreign Currency Convertible Bonds IFC(W) : International Finance Corporation (Washington) FC(B&O) : Foreign Currency (Banks & Others) Deposits

Note: 1. Other concessional multilateral Government borrowing refers to debt outstanding to Institutions like IFAD, OPEC & EEC (SAC). 2. Multilateral non-concessional Government/ public sector/ financial institutions other borrowings refers to debt outstanding against loans from ADB. 3. Securitised commercial borrowings (inclu. IDBs and FCCBs) includes net Investment by 100% Fll debt funds, Resurgent India Bonds (RIBs) and India Millenium Deposits(IMDs). 4. Rupee debt refers to debt owed to Russia denominated in Rupees and converted at current exchange rates, payable in exports. 5. Civillian's rupee debt includes Supplier’s credit from end-March 1990 onwards. 6. Short-term debt does not include suppliers’ credit of up to 180 days from 1994 till 2004. 7. Multilateral loans do not include revaluation of IBRD pooled loans and exchange rate adjustment under IDA loans for Pre-1971 credits. 8. Debt- service ratio from the year 1992 - 93 includes the revised private transfer contra-entry on account of gold and silver imports.

The yield on India 1 Year Bond Yield rose to 5.62% on December 2, 2025, marking a 0.10 percentage points increase from the previous session. Over the past month, the yield has fallen by 0.16 points and is 1 point lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for India 52W.

In financial year 2021, the volume of green bonds in India was over *********** U.S. dollars. The volume of green bond issuance has been fluctuating since financial year 2017. The green bond is a fixed-income instrument, the proceeds from which fund an environmental project. The bond proceeds are, for example, invested across ventures related to renewable energy, clean transport, green buildings, etc. First Indian sovereign green bonds Green bonds are also crucial as a solution to address the investment gap in the Indian market. In 2022, the government approved the Sovereign Green Bonds Framework of India, through which it aims to issue green bonds. The focus will be on financing green infrastructure and renewable energy projects. This is deemed to be a move towards achieving Nationally Determined Contribution (NDC) targets adopted under the Paris Agreement of 2016. Moving towards renewable energy   India has witnessed a tremendous rise in energy consumption as a result of rapid economic development and an increase in population. It is one of the leading carbon emitters in the world; however, its per capita consumption is lower than the global average. The country is striving to achieve energy independence through initiatives like Make in India, with a growing focus on sustainability. The government recognized various startups under the sustainability sector as of 2022. Investment in renewable energy has also spiked as compared to the previous years.

The yield on India 3 Month Bond Yield rose to 5.39% on December 2, 2025, marking a 0.06 percentage points increase from the previous session. Over the past month, the yield has fallen by 0.08 points and is 1.05 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for India 3M.

India Government Securities Yield: 27 Years data was reported at 8.243 % pa in Aug 2018. This records an increase from the previous number of 8.086 % pa for Jul 2018. India Government Securities Yield: 27 Years data is updated monthly, averaging 8.015 % pa from Aug 2002 (Median) to Aug 2018, with 164 observations. The data reached an all-time high of 9.353 % pa in Sep 2013 and a record low of 5.928 % pa in Oct 2003. India Government Securities Yield: 27 Years data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.MD002: Government Securities Yield.

ESG debt instruments, including green bonds, social bonds, sustainability bonds, and sustainability-linked bonds, are fixed-income securities designed to sustain or improve the condition of the environment or society or governance practices. Green Bonds are fixed income instruments where the proceeds will be exclusively directed to finance or re-finance, in part or in full, new and/or existing green projects. Social bonds have use of proceeds that are dedicated to projects with positive social outcomes. Sustainability bonds have a mix of green and social use of proceeds. Sustainability linked bonds (SLB) are financial instruments where financial and structural characteristics are linked to achieving performance objectives that improve the condition of the environment or society. SLBs are not use-of proceed bonds. They typically include key performance indicators which are structurally connected to the issuer’s goal achievement. Sources: LSEG. Accessed on 2025-02-24; IMF staff calculations. Category: Climate Finance Data series:  The following data series are available by debt instruments: ESG Bond Issuances ESG Bond Outstanding ESG Bond Issuances by Type of Issuers ESG Bond Issuances by Country Cumulative ESG Bond Issuances by Type of Currency Cumulative Green Bond Issuances by Use of Proceeds Cumulative Social Bond Issuances by Use of Proceeds Cumulative Sustainability Bond Issuances by Use of Proceeds Sovereign Green Bond Issuances Metadata:  The source dataset is based on LSEG (formerly Refinitiv), which contain bond-by-bond issuances for Green Bonds, Social Bonds, Sustainability Bonds, and Sustainability-Linked Bonds starting from 2006 to 2024. Bonds by type encompass investment grade, high-yield, and not-rated bonds, commercial papers, certificates of deposit, and sukuks. By issuer type, bonds encompass government, corporate, agency, non-US munis, and other gov/supra bonds. Methodology:  The data are aggregated by country of incorporations, use of proceeds, type of currency and type of issuers (nonfinancial corporations, other financial corporations, banks, state owned entities, sovereign, state and local governments and international organizations). Sovereign green bonds are green bonds issued by central governments and central banks. Compilation of the indicator is based on the methodology used by London Stock Exchange Group, and divergences may be observed when compared to data from other providers.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

IDX Composite: A Barometer of India's Economic Health?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

JPMorgan (JII) Stock: Is the Indian Investment Trust a Winner?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

India Treasury Bills: Yield: 182 Days data was reported at 5.926 % pa in Apr 2025. This records a decrease from the previous number of 6.518 % pa for Mar 2025. India Treasury Bills: Yield: 182 Days data is updated monthly, averaging 6.788 % pa from Apr 2005 (Median) to Apr 2025, with 241 observations. The data reached an all-time high of 12.010 % pa in Aug 2013 and a record low of 3.260 % pa in Nov 2020. India Treasury Bills: Yield: 182 Days data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.MD001: Treasury Bills Yield.