2022
DOI: 10.2139/ssrn.4078032
|View full text |Cite
|
Sign up to set email alerts
|

Assessing the Accuracy of Exponentially Weighted Moving Average Models for Value-at-Risk and Expected Shortfall of Crypto Portfolios

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 71 publications
0
1
0
Order By: Relevance
“…with Variance of -th shares Return of the -th shares in the -th period Average return of -th shares Number of observation data periods minus one Next, calculate the standard deviation, which is the square root of the variance, formulated as follows (Agustinus, 2021). Alexander & Dakos (2022), there are two statistical concepts that can be used to see the relationship between two stocks, namely covariance and correlation. The formula for the covariance between stocks X and Y can be formulated as follows:…”
Section: ∑( )mentioning
confidence: 99%
“…with Variance of -th shares Return of the -th shares in the -th period Average return of -th shares Number of observation data periods minus one Next, calculate the standard deviation, which is the square root of the variance, formulated as follows (Agustinus, 2021). Alexander & Dakos (2022), there are two statistical concepts that can be used to see the relationship between two stocks, namely covariance and correlation. The formula for the covariance between stocks X and Y can be formulated as follows:…”
Section: ∑( )mentioning
confidence: 99%