Handlining Missing qualtery financia data
We are tying a use case to analyze and predict certain private companies (startups/well established) quarterly earnings. The data feed we have for some of the private companies do not have any financial information, specifically quarterly earnings. All that at the most we heave is their valuation. Is there any specific leaner that we can apply to determine the MISSING quarterly earnings and design approach for such need
The second part of the issue is some of our current private clients do send their quarterly earnings, but some have missing data, like they might have Q1, Q3, Q4 (missing Q2), what would be the best approach to handle missing data. I saw a an operator to handle missing data in RM, but is there a better way than simple average, min, max??