Expected Credit Loss Assessment

By |2020-03-25T17:19:34+00:00March 25th, 2020|Categories: Financial Instruments, Financial Reporting IFRS HKFRS, Valtech Insights|Tags: , |

Many companies still struggle in how to fulfill the requirement to consider forward looking information in the expected credit loss adjustment. Let’s recall the standard’s requirement on this matter.

Business Valuation and Expected Credit Loss Training

By |2020-03-17T03:34:59+00:00November 26th, 2019|Categories: Professional Training|Tags: , , , |

The first Business Valuation and Expected Credit Loss training seminar was successfully held on 25 November 2019 in Hong Kong. With more than 20 people from a CPA firm focusing on listed companies attended this seminar.

VALTECH is ready to assist HKFRS 9

By |2019-04-02T08:11:13+00:00April 2nd, 2019|Categories: Financial Reporting IFRS HKFRS, Valuation Data Analytics|Tags: , , |

Requirements under the new HKFRS 9 on Expected Credit Loss: Most Financial Instruments are subject to Expected Credit Loss Assessments under HKFRS 9. ECL typically covers trade receivable, contract assets, loan and other receivables .A Simplified Approach for trade receivable based on a Provision Matrix of Lifetime ECL. A 3-Stage General Approach for loan and other receivables, and as a policy choice for trade and lease receivables with significant financing component. Forward looking economic scenarios and their impacts on a weighted average ECL.

Valtech Valuation helps you with HKFRS 9 Expected Credit Loss in just a minute!

By |2018-12-17T04:39:55+00:00December 17th, 2018|Categories: Financial Reporting IFRS HKFRS|Tags: , , , |

Valtech has prepared an exclusive tool to assist HKFRS 9 preparers to measure their expected credit loss rates based on empirical data and prevailing industry insights across various industries. Let's take the following three industries as examples, being a typical auto component manufacturer, a consumer product distributor and a power supply company as follows: Highlights: 1、Quick credit loss insights consolidated from

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