Maintain existing indexes · Develop new ones

Indexes Management System (IMS)

The Indexes Management System maintains existing indexes and develops new indexes. Every day it runs the indexes in production: data feeds, composition, corporate actions, calculation of price, total-return and net-return levels in several currencies, and dissemination to clients, websites and data vendors. For new indexes it takes a client's idea through specifications, rules and a back test, then into production alongside the rest of the family.

100,000+

indexes managed and disseminated

countries covered

levels of index innovation

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Existing indexes

Maintenance · Calculation · Dissemination

Maintenance

Daily update of the data inputs (prices, FX rates, dividends), quality checks and corporate actions with their divisor adjustments.

Calculation

End-of-day and intraday levels in price, total and net return, in the local and foreign currencies.

Dissemination

Statistics and index files sent by FTP, web services, the website and data vendors.

New indexes

Design · Backtest · Analytics

Design

Index specifications: target, universe, formula, weighting, capping, currency and the index rules.

Backtest

At least five years of history, rebuilt with the same rules and corporate actions, before the index is approved.

Analytics

Performance and risk analysis: return, volatility, drawdown, tracking error and attribution against the benchmark, before going into production.

Customised indexes

My idea · Your index · My index

My idea

The client describes the idea. IMS designs the index: universe, rules, weighting and base.

Your index

IMS back-tests and calculates the index with its total-return, net-return and currency versions.

My index

The client owns a published index, calculated daily and maintained through every corporate action.

The platform

What · Objectives · Users

What

A cloud-based platform for strategic design, execution and monitoring, integrating data, models, analytics and execution. It complements Research (CCPR) and Investment (CCPI).

Objectives

Support strategy formulation, enable real-time analytics and decision-making, improve efficiency and scalability, and reduce cost and complexity.

Users

Corporate strategy teams, investors and analysts, institutions and academics, governments and policy makers.

Home › Dashboard

Indexes dashboard

Find any index by name or code and filter by family, mother index, type, currency and weighting. Click an index to open its page.

Family

Mother index

Type

Currency

Weighting

Export CSV

Mother indexes

Price and total-return indexes share the same composition, and so do domestic and foreign-currency indexes. Each family has a mother index : the price index calculated in VND.

Home › Monitor

Monitor

Follow the progress and the quality of the daily data update: the publication pipeline, the data feeds, and the quality checks on prices, FX rates and index moves.

Last update

2026-10-09

End-of-day session

Prices received

Quality score

Open issues

Daily update pipeline

Demo schedule (Vietnam time). In production each step reports its own start, end and record counts.

Feeds and tables

Issues by session (last 60 sessions)

Checks

Missing price: no valid close for a constituent.
Price limit breach: daily move beyond the exchange band (HOSE 7%, HNX 10%) after removing corporate-action effects.
Stale price: close unchanged for 3 sessions.
FX jump: reference rate moves more than 1.5% in a day.
Index move to review: a mother index moves more than 4% in a day.

Issues log

Home › Database

Database

Reference data and prices of the instruments: currencies, crypto, commodities, indexes, bonds and funds. Choose a tab, then find an instrument by name or code, filter with the boxes and sort by clicking a column header.

Home › Corporate Actions

Corporate Actions

Review the corporate actions applied to the indexes, their treatment and divisor adjustments, and add manual adjustments when needed.

Treatment preview

Divisor and index adjustment factor Kt

Corporate actions register (idx_ca)

Processing rules

Corporate actions are created automatically from files or manually through this interface.
Manual processing is implemented for the END OF DAY stage; automatic real-time processing follows.
The treatment may be prepared during the session but is applied only after the market close.
The new number of shares and/or the adjusted price give the new capitalisation, then DIVISOR_t+1 = DIVISOR_t × adjusted CAPI_t / CAPI_t.

Stock

Event type

Ex-date

Shareholders receive B new shares for every A shares held. Shares are in millions, prices in VND.

Home › Calculation › Index calculation

Index calculation

Follow an index through the intraday session and review its day, year-to-date and life statistics before publication.

Intraday session (5-minute calculation)

Day / Year to date / Life

Change and var compare the close with the previous day, the end of last year and the base value. Day high/low show their timestamps.

Calculation detail (idx_histoday)

Home › Calculation › Currency conversion

Currency conversion

Calculate indexes in foreign currencies, directly from converted prices or indirectly from the domestic index level, and check that both methods agree.

Direct method

Local stock prices are converted into the index currency with the real-time exchange rate X _it .

Indirect method (method 2)

The mother index is converted with the previous calculation and the exchange-rate variation.

Mother index in VND vs converted levels

Method check

Exchange rate (VND per unit)

Home › Calculation › Design & back-test

Design & back-test

Turn an idea into an index: choose the universe, weighting, capping and base, then back-test it over the full history before it goes into production.

2 · Your index: back test vs IMS AllShare (rebased)

Statistics

Weights at last date

3 · My index

Publishing adds the index to the family: it is then calculated daily, adjusted for corporate actions and available in every tab.

Download index file

Index name

Index code

Constituents

Weighting

Capping (max weight, 0 = none)

Base level

Currency

Base date

Capping / weight review

Withholding tax for net return

Home › Dissemination

Dissemination

Publish the index files and statistics to clients, the website and data vendors, and download historical, intraday, composition and corporate-action files.

idx_histoday

Daily closing levels since base date.

Download .csv

idx_intraday

5-minute levels of the last session.

Download .csv

idx_compo

Composition with N, F, k, M and weights.

Download .csv

idx_ca

Corporate actions applied to the indexes.

Download .csv

Publication status

Publication channels

FTP & web services

Index files (levels, compositions, corporate actions) for clients and information providers.

Website

Index levels, factsheets and statistics on the IFRC websites.

Data vendors

Distribution through Reuters, Bloomberg and other vendors; IS sales.

Home › Help › Methodology

Methodology

The formulas used to calculate the price, total-return and net-return indexes, the divisor adjustments, capping and currency conversion.

Price index (PI)

The price index level formula is used to calculate real-time index levels during the continuous trading phase.

$$PI_t = BASE \times \frac{\sum_{i=1}^{n} N_{it} F_{it} k_{it} M_i X_{it} P_{it}}{CAPI_0 \times K_t}$$

For convenience:

$$PI_t = BASE \times \frac{CAPI_t}{DIVISOR_t}, \quad CAPI_t = \sum_{i=1}^{n} N_{it} F_{it} k_{it} M_i X_{it} P_{it}, \quad DIVISOR_t = CAPI_0 \times K_t$$

Factors on the index level

Base capitalisation (CAPI0): initial capitalisation when the index is created; the reference used to track the index over time.
Base level (BASE): starting value in points, usually 1000 for blue chips / benchmarks and 100 for sectors.
Index adjustment factor (Kt): corrects the impact of corporate events so the level moves only with trading. Managed manually or automatically, ensuring no change between the evening close and the next morning's opening.

Factors on the sample level

Number of shares (Nit): all issued shares for all-share indexes; a representative number for sector or basket indexes.
Free float factor (Fit): adjusts shares to those truly available on the market (AllShare uses 100%, tradable indexes use the free float).
Capping factor (kit): keeps a single instrument's weight under a threshold such as 10% or 15%. Also the optional instrument adjustment factor (1 when not used).
Price multiplication (Mi): e.g. 1/100 for prices quoted in pence.

Return indexes

The total return (TRI) and net return (NRI) indexes reinvest gross and net dividends.

$$TRI_t = \frac{TRI_{d-1}}{PI_{d-1}} \times \left(PI_t + BASE\,\frac{GD_t}{DIVISOR_t}\right), \qquad NRI_t = \frac{NRI_{d-1}}{PI_{d-1}} \times \left(PI_t + BASE\,\frac{ND_t}{DIVISOR_t}\right)$$

$$GD_t = \sum_{i=1}^{n} N_{it} F_{it} k_{it} M_i X_{it} D_{it}$$

Currency conversion and corporate actions

$$I_t^{fc} = I_{t-1}^{fc} \times \frac{I_t^{dc}}{I_{t-1}^{dc}} \times \frac{cx_t^{fc/dc}}{cx_{t-1}^{fc/dc}}$$

$$DIVISOR_{t+1} = DIVISOR_t \times \frac{adjusted\ CAPI_t}{CAPI_t}$$

Home › Help › Database structure

Database structure

The tables of the indexes database, grouped from reference data and prices to calculation, history and corporate actions, with the structure of each table. Click a table name to display its data.

References 4 Prices 2 Composition 2 Calculation 4 History 3 Corporate actions 2

References

mar_ref 6 columns

Markets and trading sessions.

Column	Type	Key	Description
market_code	VARCHAR(10)	PK	Market code (HOSE, HNX)
market_name	VARCHAR(100)		Market name
country	VARCHAR(50)		Country of the market
currency	CHAR(3)		Trading currency
open_time	TIME		Opening of the continuous session
close_time	TIME		Close of the session

Table mar_ref data/rds/mar_ref.rds

sec_ref 2 columns

Sector classification.

Column	Type	Key	Description
sector_code	VARCHAR(10)	PK	Sector code
sector_name	VARCHAR(100)		Sector name

Table sec_ref data/rds/sec_ref.rds

stk_ref 6 columns

Stock reference data: market, sector, shares and free float.

Column	Type	Key	Description
ticker	VARCHAR(10)	PK	Stock code
name	VARCHAR(100)		Company name
market_code	VARCHAR(10)	FK mar_ref	Listing market
sector_code	VARCHAR(10)	FK sec_ref	Sector
shares_m	NUMBER		Number of shares (millions)
free_float	NUMBER		Free float (0 to 1)

Table stk_ref data/rds/stk_ref.rds

idx_ref 8 columns

Index reference: every index of the catalogue with its mother index, type and currency.

Column	Type	Key	Description
code	VARCHAR(20)	PK	Index code
name	VARCHAR(150)		Index name
mother	VARCHAR(20)	FK idx_specs	Mother index (price index in VND)
family	VARCHAR(30)		Family: Benchmark, Sector, Strategy, Custom
type	VARCHAR(30)		Price, total return, net return, currency version
currency	CHAR(3)		Calculation currency
base	NUMBER		Base value
base_date	DATE		Base date

Table idx_ref data/rds/idx_ref.rds

Prices

stk_prices 3 columns

Daily closing prices of the stocks, full simulated history since 2019.

Column	Type	Key	Description
date	DATE	PK	Trading date
ticker	VARCHAR(10)	PK, FK stk_ref	Stock code
close	NUMBER		Closing price (VND)

Table stk_prices data/rds/stk_prices.rds

cur_rates 3 columns

Daily currency reference rates.

Column	Type	Key	Description
date	DATE	PK	Date
USDVND	NUMBER		VND per 1 USD
EURVND	NUMBER		VND per 1 EUR

Table cur_rates data/rds/cur_rates.rds

Composition

idx_compo 2 columns

Constituent list of each mother index.

Column	Type	Key	Description
code	VARCHAR(20)	PK, FK idx_specs	Mother index
ticker	VARCHAR(10)	PK, FK stk_ref	Constituent

Table idx_compo data/rds/idx_compo.rds

idx_composition 10 columns

Composition with the factors N, F, k, M and the weights on the last day.

Column	Type	Key	Description
code	VARCHAR(20)	PK, FK idx_specs	Mother index
ticker	VARCHAR(10)	PK, FK stk_ref	Constituent
name	VARCHAR(100)		Company name
sector	VARCHAR(100)		Sector name
price	NUMBER		Last price P
shares_m	NUMBER		Shares N (millions)
free_float	NUMBER		Free float F
k	NUMBER		Capping / weighting factor k
M	NUMBER		Price multiplier M
weight	NUMBER		Weight in the index

Table idx_composition data/rds/idx_composition.rds

Calculation

idx_specs 10 columns

Index specifications: base, weighting, capping, review and tax.

Column	Type	Key	Description
code	VARCHAR(20)	PK	Mother index code
name	VARCHAR(150)		Index name
base	NUMBER		Base value
base_date	DATE		Base date
weighting	VARCHAR(50)		Weighting method
cap	NUMBER		Capping limit (0 = none)
review	VARCHAR(20)		Capping / weight review frequency
free_float	BOOLEAN		Free-float adjusted
nri_tax	NUMBER		Withholding tax for the net-return index
origin	VARCHAR(20)		IMS or client (custom)

Table idx_specs data/rds/idx_specs.rds

idx_intraday 3 columns

Intraday levels of IMS AllShare on the last session.

Column	Type	Key	Description
code	VARCHAR(20)	PK, FK idx_ref	Index code
time	TIME	PK	Time of calculation
level	NUMBER		Index level

Table idx_intraday data/rds/idx_intraday.rds

idx_day 6 columns

Last-day statistics for every index of the catalogue.

Column	Type	Key	Description
code	VARCHAR(20)	PK, FK idx_ref	Index code
date	DATE	PK	Session date
last	NUMBER		Closing level
var_pct	NUMBER		Day change (%)
ytd_pct	NUMBER		Year-to-date change (%)
y1_pct	NUMBER		One-year change (%)

Table idx_day data/rds/idx_day.rds

cmp_intraday 4 columns

Intraday contribution of each constituent to IMS AllShare (simulated).

Column	Type	Key	Description
code	VARCHAR(20)	PK, FK idx_ref	Index code
time	TIME	PK	Time of calculation
ticker	VARCHAR(10)	PK, FK stk_ref	Constituent
contribution	NUMBER		Contribution to the index change since the previous close (points)

Table cmp_intraday data/rds/cmp_intraday.rds

History

idx_histoday 10 columns

Daily history of IMS AllShare: PI, TRI, NRI, capitalisation, divisor and adjustment factor.

Column	Type	Key	Description
code	VARCHAR(20)	PK, FK idx_ref	Index code
date	DATE	PK	Session date
PI	NUMBER		Price index
TRI	NUMBER		Total-return index
NRI	NUMBER		Net-return index
CAPI	NUMBER		Index capitalisation
DIVISOR	NUMBER		Divisor
Kt	NUMBER		Adjustment factor
GD	NUMBER		Gross dividends in index points
adjustment	VARCHAR(200)		Corporate actions applied

Table idx_histoday data/rds/idx_histoday.rds

stk_histoday 5 columns

Daily stock history with shares and free float, full simulated history since 2019.

Column	Type	Key	Description
date	DATE	PK	Session date
ticker	VARCHAR(10)	PK, FK stk_ref	Stock code
close	NUMBER		Closing price
shares_m	NUMBER		Shares (millions)
free_float	NUMBER		Free float

Table stk_histoday data/rds/stk_histoday.rds

cmp_day 11 columns

Daily composition snapshot of IMS Tradable 10.

Column	Type	Key	Description
date	DATE	PK	Session date
code	VARCHAR(20)	PK, FK idx_specs	Mother index
ticker	VARCHAR(10)	PK, FK stk_ref	Constituent
name	VARCHAR(100)		Company name
sector	VARCHAR(100)		Sector name
price	NUMBER		Price
shares_m	NUMBER		Shares (millions)
free_float	NUMBER		Free float
k	NUMBER		Capping factor
M	NUMBER		Price multiplier
weight	NUMBER		Weight

Table cmp_day data/rds/cmp_day.rds

Corporate actions

stk_div 4 columns

Ordinary cash dividends per share.

Column	Type	Key	Description
ticker	VARCHAR(10)	PK, FK stk_ref	Stock code
ex_date	DATE	PK	Ex-dividend date
amount	NUMBER		Dividend per share (VND)
source	VARCHAR(20)		Feed or manual input

Table stk_div data/rds/stk_div.rds

idx_ca 10 columns

Corporate actions processed, with the adjusted price, shares and divisor rule.

Column	Type	Key	Description
ticker	VARCHAR(10)	PK, FK stk_ref	Stock code
ex_date	DATE	PK	Ex-date
type	VARCHAR(60)	PK	Corporate action type
close_before	NUMBER		Close on the day before the ex-date
adjusted_price	NUMBER		Adjusted reference price
shares_before_m	NUMBER		Shares before (millions)
shares_after_m	NUMBER		Shares after (millions)
divisor_rule	VARCHAR(100)		Treatment of the divisor
note	VARCHAR(200)		Note
source	VARCHAR(20)		Feed or manual input

Table idx_ca data/rds/idx_ca.rds

Home › Help › Tables

Tables

Display the content of any table of the indexes database. The data are simulated for this demonstration.

References

Prices

Composition

Calculation

History

Corporate actions

Export CSV

Structure

Home › Help › Table display

Table display

Choose the fields shown in the dashboard and reference tables, their labels and their order (table ims_display).

1. Tables of the web pages

Click a table name to edit its fields below.

Export CSV

Tick Shown to display a field, edit its label, and move it up or down. Changes apply at once to the page; Save keeps them in data/rds/ims_display.rds.

Table ims_display data/rds/ims_display.rds

Home › Help › About

About

The CCPX platform ecosystem and the applications built around the Indexes Management System.

CCPR · 2013

Big data, research

Universities, corporates, institutions, media. Core for CCPX.

IMS

Indexes Management System

22,000 indexes. Indexing, design, back-testing, simple to sophisticated formula indexes.

CCPI · 2015

Investment

Funds, management, institutions, media. Show room, market place.

CCPS · 2017

Strategies

Retail investors, intraday traders. Signals, alerts, execution (API), predictions.

CCPE · 2023

Education

Students, workers, in-house, universities. FTD Institute certificates and courses.

Vietnam FTD Institute (FTDI)

Financial, Technology and Data Institute. 80% online, 20% offline; local and international programmes.

Data analyst / scientist: 4M learning + 2M internship + 3M project (analyst); 24M + 6M + 6M (scientist).
Financial analyst / engineer: 4M learning + 2M internship + 3M project (analyst); 24M + 6M + 6M (engineer).

Project initiator / leader

Huu Minh MAI

Finance / mathematics / statistics, big data, programming and apps development.

Founder/CEO of Intelligence Financial Research and Consulting (IFRC), since 2010
Deputy Director of IREEDS, since 2018
Co-Founder of Beq Holdings, Head of Data Science, Research, Financial Markets, Technology and Indexes, since 2023
Editorial Board Member, Bloomberg/Newsweek Vietnam, since 2023

Price history

Performance and risk

Weights

Composition

Specifications

Home › Dashboard › Comparison

Indexes comparison

Compare the performance and risk of several indexes over the same period. Add indexes in the box below, or with the Comparison button of any index page.

Indexes

A cloud-based platform for strategic design, execution and monitoring, integrating data, models, analytics and execution. It complements Research (CCPR) and Investment (CCPI).

Objectives

Support strategy formulation, enable real-time analytics and decision-making, improve efficiency and scalability, and reduce cost and complexity.

Users

Corporate strategy teams, investors and analysts, institutions and academics, governments and policy makers.

Page in development

The content of this page goes in section_page("p_platform") in R/home_pages.R.

In development