BTL 910 - Taxonomy

 

The Banking Tutor’s Lessons

BTL 910                                                                              18-06-2026

Taxonomy

In banking, a taxonomy refers to a standardized classification system used to organize, define, and standardize data, products, risks, or sustainable activities. It serves as a common language, ensuring that various departments, regulatory bodies, and automated systems interpret financial concepts in exactly the same way.

Taxonomies in banking generally fall into four primary categories: Sustainable & Green Taxonomies; Risk Taxonomies; Reporting & Regulatory Taxonomies (XBRL); and Data & IT/Business Service Taxonomies.

1. Sustainable & Green Taxonomies

Sustainable & Green Taxonomies are frameworks (like the EU Taxonomy or Climate Bonds Taxonomy) that classify economic activities based on their environmental sustainability.

Sustainable & Green Taxonomies help banks identify and tag "green" loan opportunities, track their ESG footprint, and issue compliant green bonds without participating in greenwashing.

2. Risk Taxonomies

Risk Taxonomies are structured categorizations of the various risks a financial institution is exposed to.

Standard risk taxonomies define categories like credit risk, liquidity risk, operational risk, and compliance risk so that bank regulators (like the OCC or RBI) and internal risk officers can measure and mitigate them consistently. 

3. Reporting & Regulatory Taxonomies (XBRL)

Reporting & Regulatory Taxonomies (XBRL) are Digital dictionaries of financial terms used for regulatory reporting, such as XBRL (eXtensible Business Reporting Language).

Reporting & Regulatory Taxonomies (XBRL) convert complex long-form financial statements and supervisory reports into computer-readable data. This allows regulators (like the European Central Bank) to instantly collect and validate information across different institutions.

4. Data & IT/Business Service Taxonomies

Data & IT/Business Service Taxonomies are Organizational frameworks used to structure a bank's internal information, data assets, and IT costs (e.g., the Banking TBM Taxonomy).

Data & IT/Business Service Taxonomies help banks tag and organize unstructured data, making it easier for AI search tools to retrieve information and for IT departments to track the exact costs of delivering retail vs. investment banking services.

Taxonomies drive accuracy, reduce regulatory penalties, make auditing simpler, and empower banks to track complex metrics (like carbon emissions or IT spending) across their global portfolios.

Sekhar Pariti

+91 9440641014

BTL 909 - Measuring Inflation - Shift from WPI to PPI

 

The Banking Tutor’s Lessons

BTL 909                                                                                15-06-2026

Measuring Inflation - Shift from WPI to PPI

India is permanently replacing the Wholesale Price Index (WPI) with the globally standardized Producer Price Index (PPI) to track non-retail inflation.

Executed by the Ministry of Commerce and Industry through the Department for Promotion of Industry and Internal Trade (DPIIT), the data overhaul officially launched on 15 June 2026.

This migration fixes long-standing structural inaccuracies, adds the crucial services sector, and aligns India with international economic benchmarks recommended by the International Monetary Fund (IMF).

The government is running the WPI and the new PPI in parallel during a five-year transition, after which the WPI will be completely discontinued.

Why the Shift is Happening

The transition addresses several structural flaws with the legacy WPI system:

Exclusion of Services: WPI only measures goods, whereas the PPI tracks inflation across both goods and services.

Double Accounting: WPI measures transactions at multiple stages in the supply chain (e.g., raw materials, intermediate goods), leading to double counting. PPI resolves this by tracking the net price changes at each specific stage of production.

Global Alignment: The International Monetary Fund (IMF) and most advanced G20 economies use the PPI because it better reflects the true health of the manufacturing and production sectors.

The 5-Year Dual-Track Roadmap

Parallel Publishing: Both indices will run simultaneously for a five-year transition window.

WPI Discontinuation: WPI will be permanently phased out and retired by 2031.

WPI Base Year Revamp: To prevent mathematical distortions during the transition, the interim WPI series has upgraded its base year from 2011–12 to 2022–23.

Expanded Basket: The active commodity pool for tracking has been broadened to 957 items (up from 697).

Contractual Cushion: The dual-track parallel release allows businesses and infrastructure projects to smoothly adjust long-term price-escalation and inflation-linked legal clauses.

The New Three-Tier PPI Architecture

Unlike the singular wholesale metric, the new PPI tracking system is divided into three comprehensive sub-indices to track price points sequentially:

Output PPI (Monthly): Measures the average change in basic prices received by domestic creators when finished goods leave the factory floor.

Input PPI (Monthly Trial): Measures the changes in material costs paid by manufacturers for raw commodities, intermediate components, and energy sources.

Services PPI (Quarterly): Captures factory-gate pricing inside volatile, high-value service fields. Phase-I actively tracks seven sectors: banking, telecom, insurance, securities transactions, pension funds, railways, and passenger air transport. 

Impact on the Indian Economy

Clearer Cost Transmission: By comparing Input PPI and Output PPI, the Reserve Bank of India (RBI) and policymakers can easily see if manufacturers are absorbing cost hikes or passing them on to consumers.

Better Infrastructure Contracts: Many government infrastructure and procurement contracts rely on WPI-based inflators. Transitioning to PPI will yield more accurate reflections of real price changes in materials and labor.

Coexistence with CPI: While PPI tracks the producer level, the Consumer Price Index (CPI) will continue to remain the primary tool for tracking retail inflation and setting benchmark interest rates.

Inclusion of Services: Services generate over 50% of Indian GDP. WPI ignored them completely, whereas PPI tracks them systematically to reflect accurate economic realities.

Real-Time Margin Compression Tracking: By juxtaposing Input PPI against Output PPI, the Reserve Bank of India (RBI) can mathematically track corporate profit margins to check if businesses are absorbing cost pressures or passing them down.

Early Supply Inflation Warning: Spikes in Input PPI serve as an early warning system for the central bank to catch supply-side supply shocks before they leak into retail consumer prices tracked by the Consumer Price Index (CPI).

True GDP Deflator Calculations: Removing indirect tax margins ensures that India's nominal GDP to real GDP adjustments reflect actual factory output and productivity rather than tax adjustments.

Sekhar Pariti

+91 9440641014

DBC 2469 - W-Shaped Economy Recovery

 

The Banking Tutor

Daily Banking Concept -  2469.

W-Shaped Economy Recovery

 

A W-shaped economic recovery, also known as a "double-dip recession," occurs when an economy experiences a sharp recession, a brief period of growth, a second sharp decline, and finally a sustained recovery. When charted on a graph, these economic indicators form the letter "W".

DBC 2468 - U-Shaped Economy Recovery

 

The Banking Tutor 

               Daily Banking Concept -  2468 

U-Shaped Economy Recovery

 

A U-shaped recovery is an economic scenario where an economy suffers a sharp recessionary decline, lingers at the bottom with prolonged stagnation, and then gradually returns to its previous peak, usually over 12–24 months.

DBC 2467 - GARUDA

 

The Banking Tutor 

               Daily Banking Concept -  2467 

GARUDA 

GARUDA, or Green-Channel: AIF Rollout Upon Document Acknowledgement, aims to streamline the Processing of Placement Memorandums (PPMs) filed with SEBI and further ease fundraising by AIFs.

DBC 2466 - Average Indexed Monthly Earnings

 

The Banking Tutor 

               Daily Banking Concept -  2466 

Average Indexed Monthly Earnings

 

Average indexed monthly earnings (AIME) is a key figure used to determine a person's Social Security benefits by serving as the foundation for calculating their primary insurance amount (PIA). AIME is based on an individual's 35 highest-earning years during their working life.

DBC 2465 - Trimmed Mean

 

The Banking Tutor 

                Daily Banking Concept -  2465 

Trimmed Mean 

A trimmed mean is a central measure in statistics that adjusts the average by removing a specific portion of extreme values from a sample.