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Inside Bank Wealth Management Valuation Systems: Why Wealth Management Products Are 10 Times More Complex Than Funds

Inside Bank Wealth Management Valuation Systems: Why Wealth Management Products Are 10 Times More Complex Than Funds
#

From Non-standard Assets, Amortized Cost Accounting to Fair Value Transition
#

When investors buy a mutual fund, they usually see a simple number:

NAV:

1.3526

The assumption is:

The market closes, the fund calculates its NAV, and the value is published.

But bank wealth management products historically worked very differently.

For many years, bank wealth management products:

  • Did not publish daily net asset values;
  • Used expected return models;
  • Held large amounts of non-standard assets;
  • Relied heavily on amortized cost valuation;
  • Depended on bank credit and implicit guarantees.

After China’s asset management regulatory reform, wealth management products entered the:

Net Asset Value (NAV) era.

Banks were forced to build valuation systems similar to investment funds.

However:

Bank wealth management valuation is much more complicated.

The reason:

The assets inside wealth management products are far more diverse than those inside public funds.


1. The Biggest Difference Between Fund Valuation and Wealth Management Valuation
#

A typical mutual fund:

Stock

↓

Exchange Price

↓

Valuation

↓

NAV

The asset has a transparent market price.


A bank wealth management product may hold:

Equities

Bonds

Interbank Assets

Non-standard Debt Assets

Trust Products

Asset Management Plans

Bank Deposits

Private Debt

ABS

Income Rights

Many of these assets:

do not have publicly traded prices.


Therefore:

Fund valuation is mainly:

Market Price Driven

Bank wealth management valuation is:

Market + Model + Contract Driven

It depends on:

  • Market data;
  • Valuation models;
  • Contract terms.

2. Historical Valuation Model of Bank Wealth Management
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2.1 Expected Return Model Era
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Historically:

A customer purchased:

Product A

Term:

365 days

Expected Return:

5%

Internally, the bank focused on:

Asset Income

-

Funding Cost

=

Profit Margin

The product did not necessarily calculate daily fair value.


2.2 The Pooling Model
#

A common historical structure:

Multiple Wealth Products

          ↓

     Asset Pool

          ↓

Unified Investment

          ↓

Centralized Management

The problem:

Investors did not know:

Which exact assets their money was invested into.


Example:

Product A:

100 billion RMB

Product B:

50 billion RMB

Together:

150 billion RMB Asset Pool

Invested into:

Bonds

Loans

Trust Products

Non-standard Assets

This created a separation between:

Investor Product

and

Underlying Assets

3. Why Regulatory Reform Forced Valuation System Transformation
#

The core requirement:

Net Asset Value Transformation
#

Each product must know:

What assets do I own?

↓

How much are these assets worth today?

↓

What is my NAV?

Therefore banks started building:

Wealth Management Valuation Platforms

4. Overall Architecture of a Wealth Management Valuation System
#

Typical architecture:

                 Market Data Platform

                         |

                         ↓


Investment Trading System

                         |

                         ↓


              Portfolio Management System


                         |

                         ↓


              Valuation Engine


          +--------------+--------------+

          ↓                             ↓


    Accounting System             Risk System


          ↓


     Custodian Bank Review


          ↓


       Product NAV Publishing

5. The Biggest Challenge: Non-standard Assets
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What Are Non-standard Assets?
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Non-standardized debt assets are assets that are not publicly traded.

Example:

Corporate financing:

Company A

borrows:

10 billion RMB

Term:

3 years

Interest Rate:

6%

A stock has:

Real-time market price

A private loan does not.

The system must answer:

What is this loan worth today?


6. How Are Non-standard Assets Valued?
#

The common method:

Discounted Cash Flow Model (DCF)
#

Formula:

Asset Value

=

Discounted Future Cash Flow

Example:

Loan:

Principal:

10 billion RMB

Interest:

6%

Term:

3 years

Future cash flow:

Year 1:

600 million interest


Year 2:

600 million interest


Year 3:

10.6 billion repayment

The valuation engine considers:

Market Interest Rate

Credit Risk

Duration

Liquidity Adjustment

Then calculates:

Today's Fair Value

7. Internal Data Model of Non-standard Asset Valuation
#

A non-standard asset object may contain:

ASSET_ID

Asset Type

Borrower

Principal

Interest Rate

Start Date

Maturity Date

Repayment Method

Credit Rating

Cash Flow Schedule

Cash flow table:

CASH_FLOW_SCHEDULE

Example:

DateAmount
2027-01-01600 million
2028-01-01600 million
2029-01-0110.6 billion

Daily valuation:

Future Cash Flow

↓

Discount Calculation

↓

Asset Value

8. Why Did Banks Prefer Amortized Cost?
#

Historically, banks preferred:

Amortized Cost Accounting
#

Because:

It creates stable returns.


Example:

Bond purchase:

Price:

100 RMB

Coupon:

5%

Maturity:

5 years

The system gradually recognizes value over time.

NAV appears smooth:

1.001

1.002

1.003

For customers:

The product looks stable.


9. The Problem With Amortized Cost
#

The problem:

It may hide market risk.


Example:

Bank purchases a bond:

Purchase Price:

100 RMB

One year later:

Market price:

80 RMB

Fair value:

80 RMB

Amortized cost:

Still close to:

100 RMB

The accounting value does not immediately reflect the market loss.

This creates:

valuation lag.


10. Why Fair Value Became the Future
#

Fair value means:

Every day:

Assets are revalued using current market information.


Example:

Bond:

Yesterday:

100 RMB

Today:

98 RMB

NAV reflects:

-2%

Advantages:

  • Transparent;
  • Risk visible;
  • Market-driven.

Disadvantage:

  • Higher volatility.

11. How Does the System Switch Between Amortized Cost and Fair Value?
#

This is one of the biggest technology changes.

The same asset may require different valuation methods.


Example:

Bond:

VALUATION_METHOD

AC

or

FV

Database table:

ASSET_VALUATION_RULE

Contains:

Asset Type

Valuation Method

Conditions

Effective Date

Expiration Date

Rule example:

IF

Asset_Type = Bond

AND

Holding_Model = Collect_Cash_Flow


THEN

Amortized Cost

Otherwise:

Fair Value

12. Why Is Wealth Management Valuation Much More Complex Than Fund Valuation?
#

Reason 1: More Asset Types
#

Funds:

Stocks

Bonds

Cash

Wealth management:

Stocks

Bonds

Loans

Trust Products

ABS

Non-standard Assets

Deposits

Derivatives

Reason 2: More Valuation Models
#

Funds mainly use:

Market Price

Wealth management requires:

DCF Models

Credit Models

Yield Curves

Risk Adjustments

Reason 3: Contract-driven Assets
#

A loan is not a standardized security.

Each contract has:

Interest Rate

Maturity

Repayment Schedule

Prepayment Conditions

A stock:

Same code.

Same market price.


13. Core System Changes After Establishing Wealth Management Subsidiaries
#

Banks created dedicated wealth management companies.

They needed:

Investment System

↓

Portfolio Management System

↓

Valuation Platform

↓

Risk System

↓

Accounting System

↓

TA System

But compared with funds, they also require:

Non-standard Asset Platform

Credit Rating Engine

Cash Flow Management System

14. What Happens Inside a Wealth Management Product Every Night?
#

15:00
#

Market closes.


16:00
#

Collect:

Stock Prices

Bond Prices

ChinaBond Valuation

17:00
#

Synchronize:

Investment Portfolio

18:00
#

Valuation:

Equities:

Exchange Price

Bonds:

Bond Valuation Models

Loans:

DCF Models

20:00
#

Accounting:

Income

Expenses

Fair Value Changes

22:00
#

Custodian verification.


Midnight
#

Publish product NAV.


15. Future Trends of Wealth Management Valuation Systems#

1. Unified Asset Valuation Platform
#

Old architecture:

Stock System

Bond System

Loan System

Separate Platforms

Future:

Unified asset model:

Asset Object

2. Real-time Valuation
#

Moving from:

Daily NAV

toward:

Real-time Risk Valuation

3. AI-assisted Valuation
#

Especially for:

Non-standard assets.

AI can assist:

Credit Analysis

Cash Flow Prediction

Risk Adjustment

Conclusion
#

The complexity of bank wealth management valuation is not because the formula is difficult.

The difficulty comes from the question:

Fund valuation asks:

“What is the market price of my assets today?”

Bank wealth management valuation asks:

“How much are these assets worth when many of them have no public market price?”

Therefore, the system must combine:

Market Prices

+

Contract Cash Flows

+

Credit Risk

+

Accounting Rules

+

Regulatory Requirements

The final architecture becomes:

Investment System

↓

Asset Management System

↓

Valuation Engine

↓

Accounting System

↓

Custodian Review

↓

Product NAV

This is the core financial technology infrastructure behind China’s transition from traditional bank wealth management to NAV-based asset management.


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