India’s rural development agenda blends targeted schemes, infrastructure finance, and structural reforms to raise incomes, build resilience, and close the rural–urban gap in opportunities and services. Rural development schemes Skill and entrepreneurship Shyama Prasad Mukherji Rurban Mission (SPMRM) Backward area programs Power supply to rural India Dryland farming development Soil and water conservation Rural Infrastructure…
Agriculture has always been the backbone of the Indian economy, not only as a source of livelihood for a large section of the population but also as a driver of growth, food security, and rural development. Despite rapid industrialization and the rise of the services sector, agriculture continues to play a foundational role in shaping…
Rural India’s economy is anchored in agriculture but increasingly driven by non-farm diversification, with formalization, infrastructure expansion, and digital public infrastructure reshaping finance, livelihoods, and market linkages. Agriculture Non-farm activities GDP and GVA: Relevance for Rural Banking Rural money markets Rural indebtedness Rural poverty Measuring the poverty line: methods Sustainable Development Goals (SDGs) Infrastructure in…
Rural India is characterized by a large population base with improving health and education indicators, a predominantly smallholder agrarian economy alongside expanding non-farm activity, and evolving local institutions that shape development outcomes and financial inclusion priorities. Population and literacy Sixth Economic Census Agriculture census highlights Socio‑economic development indicators Health and nutrition Education Rural‑urban migration Characteristics…
(Step‑by‑step practical examples for the key formulas and relations used in option valuation, using plain numbers and intuitive explanations) Option valuation estimates the fair value of an option by modeling expected payoffs under risk‑neutral probabilities and discounting at the risk‑free rate, with price sensitivities captured by Greeks and implied volatility extracted from market prices for…
[At the bottom of this article you will find, practical, finance‑ready examples that apply each formula step by step, with clean numbers and brief interpretations] Executive SummaryProbability theory underpins quantitative risk analysis and investment decision-making by modeling uncertainty, measuring variability, and estimating tail risks across portfolios and credit exposures. This article explains core concepts—probability, conditional…
Statistics forms the backbone of data-driven decision-making in banking, finance, and economics. By applying various statistical measures, financial professionals can identify patterns, assess risks, and evaluate performance across portfolios and business activities. This article explores key statistical concepts essential for financial analysis, ranging from frequency distributions to advanced portfolio metrics. Statistical Measures and Frequency Distribution…
A swap is an over-the-counter derivative in which two parties agree to exchange cash flows based on specified terms for a defined period, typically without exchanging principal and with cash flows computed on a notional amount. Swaps allow participants to transform the nature of their assets or liabilities (e.g., from floating to fixed interest) and…
An option is a derivative contract that grants the buyer the right, but not the obligation, to buy or sell an underlying asset at a specified strike price on or before a stated expiration date, in exchange for a premium paid to the seller (writer) of the option. Option terminology Call option A call option…
(This article presents how futures differ from forwards, why clearing and margining matter for performance assurance, how pricing links to carry and yield curves, and how settlement conventions and market structure shape real-world hedging and trading outcomes.) A futures contract is a standardized agreement traded on an exchange to buy or sell an underlying asset…