> For the complete documentation index, see [llms.txt](https://docs.fiinpro.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fiinpro.com/english/bonds/bond-list/case-study.md).
# Case Study
Case Study 1: What are the bond repayment cash flows in the last two months of 2023, and how do they reflect issuers’ repayment pressure?
Steps 1
**1.** To drill down into individual bonds, go to the **Bond List** tab.\
\&#xNAN;*Note: This module allows users to create multiple custom filters, which can be saved as templates for future use.*
**2.** To assess repayment pressure in the last two months of 2023, apply the following filters:
* **Maturity Date:** from **06/10/2023 to 31/12/2023**
* **Bond Status:** *Normal* (i.e., not yet matured and not bought back by the issuer)
This filter returns **121 results**, representing bonds that will mature before year-end 2023 and thus contribute to short-term repayment pressure.
Steps 3
Steps 4
**3.** From the filtered results, select **Column Customization**.
**4.** Add columns such as **Outstanding Value** and **Credit Events**, while removing unnecessary fields for a cleaner view.
Steps 5
**5.** Sort the results by **Issue Value** to identify which bonds have the largest issuance amounts.
Steps 6
**6.** Next, refine the results by excluding certain sectors to avoid noise. For example, the **Banking** sector can be filtered out, as it is generally considered lower risk and enjoys stronger credit quality.
Steps 7
**7.** In the **Credit Events** column, users may see notes such as *“Debt restructuring”* or *“Executive risk event.”* These indicate that the issuer has previously faced credit-related issues. For issuers with such events in their history, users should conduct deeper analysis to evaluate the likelihood of future repayment risks.