[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @stoodless martin🫆👂 martin🫆👂 posts on X about losses, categories, events, malawi the most. They currently have XX followers and XX posts still getting attention that total XXX engagements in the last XX hours. ### Engagements: XXX [#](/creator/twitter::1932734679045804033/interactions)  - X Week XXX +127% - X Month XXX +4,400% ### Mentions: XX [#](/creator/twitter::1932734679045804033/posts_active)  - X Week XX +150% - X Month XX +900% ### Followers: XX [#](/creator/twitter::1932734679045804033/followers)  - X Week XX no change - X Month XX +12% ### CreatorRank: undefined [#](/creator/twitter::1932734679045804033/influencer_rank)  ### Social Influence [#](/creator/twitter::1932734679045804033/influence) --- **Social category influence** [finance](/list/finance) [countries](/list/countries) **Social topic influence** [losses](/topic/losses) #942, [categories](/topic/categories) #307, [events](/topic/events), [malawi](/topic/malawi) #371, [df](/topic/df) ### Top Social Posts [#](/creator/twitter::1932734679045804033/posts) --- Top posts by engagements in the last XX hours "1. The Risk Aggregation Problem A bank typically computes economic capital for its various risk categories (credit risk interest rate risk operational risk trading risk etc)" [X Link](https://x.com/stoodless/status/1979932767275114852) [@stoodless](/creator/x/stoodless) 2025-10-19T15:28Z XX followers, XX engagements "The economic capital for these disparate risk categories is frequently calculated at a granular level" [X Link](https://x.com/stoodless/status/1979950491288457709) [@stoodless](/creator/x/stoodless) 2025-10-19T16:39Z XX followers, XX engagements "Tail dependence orrelation coefficients are controlled by small movements around the mean and therefore fail to describe the dependence between extreme events" [X Link](https://x.com/stoodless/status/1980097030078013573) [@stoodless](/creator/x/stoodless) 2025-10-20T02:21Z XX followers, XX engagements "Tail dependence measures the propensity of joint events to concentrate in the tail of the distribution leading to the probability that severe losses are more likely to happen together. With respect to credit risk" [X Link](https://x.com/stoodless/status/1980097032468693278) [@stoodless](/creator/x/stoodless) 2025-10-20T02:21Z XX followers, X engagements "Malawi has earned K150 million from carbon credit trading through projects under the Green Development Mechanism and Reducing Emissions from Deforestation and Degradation (Redd+) programme" [X Link](https://x.com/stoodless/status/1980286165417947588) [@stoodless](/creator/x/stoodless) 2025-10-20T14:53Z XX followers, XX engagements "5. The Risk Aggregation Example Suppose Bank X has XX years of loss data for both their Retail and Commercial lines of business and would like to aggregate the losses to get an overall picture of the aggregate company losses" [X Link](https://x.com/stoodless/status/1980094258989420954) [@stoodless](/creator/x/stoodless) 2025-10-20T02:10Z XX followers, XX engagements "tail dependence is defined as the probability that a borrower exceeds a default threshold value given that another borrower exceeds a threshold value and the default thresholds are defined far out in the tail of its distribution" [X Link](https://x.com/stoodless/status/1980097034691743926) [@stoodless](/creator/x/stoodless) 2025-10-20T02:21Z XX followers, XX engagements "This has resulted in the generation of XXX million carbon credits of which only XX XXX have been sold" [X Link](https://x.com/stoodless/status/1980286169922535934) [@stoodless](/creator/x/stoodless) 2025-10-20T14:53Z XX followers, X engagements "After some preliminary data analysis they discover : (1) the correlation between the two data series is XXX and (2) the losses are distributed as such: Retail-Student-t (df = X ) and Commercial Gamma (shape = X scale = 1)" [X Link](https://x.com/stoodless/status/1980094261212406170) [@stoodless](/creator/x/stoodless) 2025-10-20T02:10Z XX followers, XX engagements "This is coming at a time the Ministry of Natural Resources and Climate Change said carbon credit initiative in Malawi has the potential to generate $XXX million (about K1.05 trillion) annually" [X Link](https://x.com/stoodless/status/1980286173491982638) [@stoodless](/creator/x/stoodless) 2025-10-20T14:53Z XX followers, X engagements
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@stoodless martin🫆👂
martin🫆👂 posts on X about losses, categories, events, malawi the most. They currently have XX followers and XX posts still getting attention that total XXX engagements in the last XX hours.
Engagements: XXX #
- X Week XXX +127%
- X Month XXX +4,400%
Mentions: XX #
- X Week XX +150%
- X Month XX +900%
Followers: XX #
- X Week XX no change
- X Month XX +12%
CreatorRank: undefined #
Social Influence #
Social category influence finance countries
Social topic influence losses #942, categories #307, events, malawi #371, df
Top Social Posts #
Top posts by engagements in the last XX hours
"1. The Risk Aggregation Problem A bank typically computes economic capital for its various risk categories (credit risk interest rate risk operational risk trading risk etc)"
X Link @stoodless 2025-10-19T15:28Z XX followers, XX engagements
"The economic capital for these disparate risk categories is frequently calculated at a granular level"
X Link @stoodless 2025-10-19T16:39Z XX followers, XX engagements
"Tail dependence orrelation coefficients are controlled by small movements around the mean and therefore fail to describe the dependence between extreme events"
X Link @stoodless 2025-10-20T02:21Z XX followers, XX engagements
"Tail dependence measures the propensity of joint events to concentrate in the tail of the distribution leading to the probability that severe losses are more likely to happen together. With respect to credit risk"
X Link @stoodless 2025-10-20T02:21Z XX followers, X engagements
"Malawi has earned K150 million from carbon credit trading through projects under the Green Development Mechanism and Reducing Emissions from Deforestation and Degradation (Redd+) programme"
X Link @stoodless 2025-10-20T14:53Z XX followers, XX engagements
"5. The Risk Aggregation Example Suppose Bank X has XX years of loss data for both their Retail and Commercial lines of business and would like to aggregate the losses to get an overall picture of the aggregate company losses"
X Link @stoodless 2025-10-20T02:10Z XX followers, XX engagements
"tail dependence is defined as the probability that a borrower exceeds a default threshold value given that another borrower exceeds a threshold value and the default thresholds are defined far out in the tail of its distribution"
X Link @stoodless 2025-10-20T02:21Z XX followers, XX engagements
"This has resulted in the generation of XXX million carbon credits of which only XX XXX have been sold"
X Link @stoodless 2025-10-20T14:53Z XX followers, X engagements
"After some preliminary data analysis they discover : (1) the correlation between the two data series is XXX and (2) the losses are distributed as such: Retail-Student-t (df = X ) and Commercial Gamma (shape = X scale = 1)"
X Link @stoodless 2025-10-20T02:10Z XX followers, XX engagements
"This is coming at a time the Ministry of Natural Resources and Climate Change said carbon credit initiative in Malawi has the potential to generate $XXX million (about K1.05 trillion) annually"
X Link @stoodless 2025-10-20T14:53Z XX followers, X engagements