Line4

Search line4.ai

In forceRisk managementLast checked 13 November 2026

Risk management data (Risk Mgt FI)

A regulatory return listed by the Bank of Thailand (BOT), Thailand.

Strategic, market, operational and liquidity risk management data: financial targets, committed credit lines, risk limit triggers and related risk indicators that a financial institution's board and management use to manage risk, reported to BOT for its off-site risk monitoring. A separate guide on this same page covers an IT Risk Data Set, reported by financial institutions, specialised financial institutions and some non-bank payment and credit businesses. Source

Official title: รายงานข้อมูลการบริหารความเสี่ยงของสถาบันการเงิน

The facts

Who files
Commercial banks, foreign bank subsidiaries and branches, specialised financial institutions, finance companies and credit foncier companies; the IT Risk Data Set also covers non-bank payment service providers. Source
How often
9 Monthly; 6 Quarterly; 4 Semi Annually; 3 Weekly; 1 Yearly (counting each dataset in the group; see the inventory for which). Source
Deadline
Varies by item: mostly 15 to 21 days after the reporting period end, up to 2 months for annual items. Source
Format
XML. Reported via the DMS as the Risk Management data set; the IT Risk Data Set guide is published as a separate Word document on the same page. Source
How it is filed
Filing routes recorded for the BOT: DAP (Data Acquisition and Publication); RDT (Regulatory Data Transformation). See how firms file with the BOT.
Status
In force
Legal basis
Group
Risk management

Templates (23)

The tables and forms inside the return. Plain name first, the BOT's code in brackets.

  • Financial Targets (DS_FTG)
  • Committed Credit Line (DS_CCL)
  • Risk Limit Trigger (DS_RLT)
  • Value at Risk (VaR) (DS_VAR)
  • Greek (DS_GRK)
  • IR PV01 (DS_IRP)
  • Credit Valuation Adjustment (CVA) (DS_CVA)
  • Profit and Loss of Financial Instruments Held at Fair Value through Profit and Loss (DS_PLF)
  • แบบรายงาน Funding Concentration (DF_FCC)
  • แบบรายงาน LCR Significant Currency - Solo (DF_LSC)
  • Liquidity Coverage Ratio: CONSO (DF_LCC)
  • Net Stable Funding Ratio: CONSO (DF_NSFC)
  • Excel For Market Risk (DF_MRC)
  • IT Audit (DS_ITA)
  • IT Capacity (DS_ITC)
  • IT DC-DR (DS_IDD)
Show all 23 templates
  • IT Infrastructure (DS_ITI)
  • IT Project (DS_ITP)
  • IT Staff (DS_ITS)
  • IT System Profile (DS_ISP)
  • Technology Implementation (DS_TGI)
  • Third Party (DS_TPT)
  • IT Outsourcing (DS_ITO)

23 datasets across strategic, market, operational and liquidity risk; version 2.1 of the Risk Management Data Set. Source

Validation rules

The BOT publishes the checks it runs on this return. They could not be counted from the published material. They are written for people to read; software cannot run them as published. Source

How they are written: Written rules in BOT's documents, in Thai and English: a 'Validation Rule' column for each data element in Risk Management Data Set Manual version 2.1 (117 rows with a rule, in 18 tables); numbered rules in tables headed 'Validation Id' in คู่มือการรายงาน IT Risk Data Set (IT Risk Data Set reporting guide) (46 ids); a 'Validation Rule' column for each data element in คู่มือการรายงาน IT Risk Data Set (IT Risk Data Set reporting guide) (44 rows with a rule, in 8 tables)..

BOT publishes no XML schema file or rule file that software can run as published. BOT's Data Set page describes three automated checks its DMS system runs on every submission: Basic Validation, Complex Validation (relationships within the same data set, run on data received by 17:00 each day) and Cross Validation (between data sets, with results shown to the reporting firm the next day).

The rules, on bot.or.th

How they were counted

Not counted: the checks are written for each data element in the manual's 'Validation Rule' column, often several to a cell, not as numbered rules.

Counts are in the BOT's own unit, so they are not comparable with other regulators' counts.

Public data

No published data from this return was found. No published aggregate or firm-level figures from this return were found on BOT's statistics pages. Source

Official documents (3)

The BOT's own files, with the size and SHA-256 fingerprint of each as downloaded on 13 November 2026, so anyone can tell whether a copy is the same version.

Sources

Every page and document this return's facts were read from.

Knowing exactly what is collected, in what format and under which rules is the first step to real-time supervision. Line4 builds SupTech software for financial regulators that runs checks like these as each return arrives.

Line4's text and records here are free to reuse under CC BY 4.0. Please credit: “Source: Line4 regulatory submissions library (CC BY 4.0), https://www.line4.ai”. The regulators' documents, forms, taxonomies, rules and data belong to them: see BOT's reuse terms. This describes what regulators publish. It is not legal or regulatory advice: always rely on the regulator's own text.

Last checked 13 November 2026.