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AAA Commercial Bank Interbank Deposit and Fund Dynamics
Finance & Banking Analytics
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About
Forecasting fund redemption requires navigating a complex interplay of market volatility, fund performance, and user engagement. This collection provides the necessary metrics to model daily subscription and redemption volumes, accounting for asynchronous timing caused by trading holidays and weekends. By integrating fund-specific characteristics with broader market yield curves, it offers a robust foundation for financial scenario understanding and time-series prediction within the investment sector.
Columns
- product_pid: A unique string identifier for the specific financial product.
- transaction_date: The specific calendar date recorded for the fund transaction.
- apply_amt: The total volume of currency applied for fund subscription on a given trading day.
- redeem_amt: The total amount requested by users for fund redemption.
- net_in_amt: The net inflow calculated as the subscription amount minus the redemption amount.
- uv_fundown: Unique visitor counts for the fund position page, representing user exposure.
- uv_stableown: Unique visitor counts for the stable position page.
- uv_fundopt: Exposure metrics for the fund optional page.
- uv_fundmarket: User traffic recorded for the fund market page.
- uv_termmarket: Exposure levels for the term market page.
- during_days: The total duration, in days, that the fund has been held.
- total_net_value: The aggregate net value of the fund asset.
- enddate / stat_date: Date identifiers used across the market and time information tables.
- yield: The percentage yield of the one-year Commercial Bank Interbank Deposit (AAA).
- is_trade: A binary indicator denoting whether a specific date is a valid trading day.
- next_trade_date / last_trade_date: Strings identifying the subsequent and previous trading sessions.
- is_week_end / is_month_end / is_quarter_end / is_year_end: Binary markers for the final trading days of specific calendar periods.
- trade_day_rank: A numerical ranking of the trading day within the sequence.
Distribution
The data is delivered in a tabular CSV format. A specific component of the collection, the market information table, contains 506 valid records with a file size of 10.13 kB and shows zero mismatched or missing entries. The resource carries a maximum usability score of 10.00 and is provided as a static archive with no future updates planned.
Usage
This resource is ideal for practicing regression and time-series analysis within a financial context. It is well-suited for building models that predict fund redemption and subscription patterns by correlating internal fund metrics with external market yields. Researchers can also use the exposure data (UV counts) to analyse how user behaviour on specific digital pages influences financial decision-making.
Coverage
The scope is focused on the financial market in China, specifically highlighting the yield curves of Commercial Bank Interbank Deposits. Temporally, the market yield data includes a sequence of 506 entries. The data reflects a thorough view of trading cycles, explicitly marking period-end dates and trading rankings to assist in accounting for holiday-related timing shifts.
License
CC BY-NC-SA 4.0
Who Can Use It
Quantitative analysts can leverage these records to refine liquidity management strategies and predict capital outflows. Data science students may find the collection useful for practicing complex time-series forecasting on a high-integrity financial dataset. Additionally, machine learning engineers can use the multiple feature sets—ranging from market yields to user exposure—to build multi-variable regression models.
Dataset Name Suggestions
- AFAC2023: Fund Redemption and Financial Time Series Registry
- China Interbank Yield and Fund Transaction Performance Data
- Predictive Analytics for Fund Flow and Market Yields
- Financial Scenario Modelling: Transaction and Exposure Metrics
- AAA Commercial Bank Interbank Deposit and Fund Dynamics
Attributes
Original Data Source: AAA Commercial Bank Interbank Deposit and Fund Dynamics
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