StatsNoisy

Q: 귀하의 국가에서 사용할 수 없는 경우 StatsNoisy를 다운로드하는 방법은 무엇입니까?

제한된 국가 또는 지역에서 StatsNoisy를 다운로드하는 방법을 알아보려면 <a href="https://apkpure.com/howto/how-to-download-an-iphone-app-if-it-is-not-available-in-your-country">여기</a>를 클릭하십시오.

Q: StatsNoisy를 실행하기 위한 최소 요구 사항은 무엇입니까?

StatsNoisy의 최소 요구 사항을 보려면 다음 목록을 확인하십시오.<br/><ul><li>iPhone-iOS 17.0 이상 필요.</li><li>iPad-iPadOS 17.0 이상 필요.</li></ul>

Noisy

￦1,100Best Deal Ever

2023.10.11for iPhone, iPad

Joao Frasco

Developer

555KB

Size

Oct 11, 2023

Update Date

Finance

Category

Age Rating

App Store 개발자 웹사이트

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

StatsNoisy 스크린 샷

iPad

iPhone

About StatsNoisy

This app calculates the probabilities of certain performance outcomes in investment management, based on some simplifying assumptions.

It calculates the probability of a single manage outperforming the benchmark over various time periods (from 1 month to 20 years), given a user selected manager skill level (given by the Information Ratio).

It also calculates the joint probability of none, or at least one manager, underperforming the benchmark. The user can select the skill level (equal for all the managers), the time period, and the number of managers.

It also calculates the probability of a single manager outperforming the benchmark by a certain alpha target (user selected) given a user selected tracking error, under the assumption that the manager has no skill i.e. an Information Ratio of 0.

It now includes probability density and mass functions, to help visualise the distributions of the outcomes i.e. the probabilities.