Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Hazard Ratio01:12

Hazard Ratio

452
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
452
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

731
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
731
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.6K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.6K
Hazard Rate01:11

Hazard Rate

318
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
318
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

307
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
307
Optimal Foraging00:48

Optimal Foraging

13.1K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Retrotransposon long interspersed nucleotide element-1 (LINE-1) is activated during salamander limb regeneration.

Development, growth & differentiation·2012
Same author

Highly shape-selective synthesis of monodispersed fivefold twinned platinum nanodecahedrons and nanoicosahedrons.

Chemistry (Weinheim an der Bergstrasse, Germany)·2012
Same author

Isolation and characterization of primary skeletal muscle satellite cells from rats.

Toxicology mechanisms and methods·2012
Same author

Workplace violence and influencing factors among medical professionals in China.

American journal of industrial medicine·2012
Same author

Systematic analysis of microRNA fingerprints in thrombocythemic platelets using integrated platforms.

Blood·2012
Same author

Lead acetate reduces the ability of human umbilical cord mesenchymal stem cells to support hematopoiesis in vitro.

Molecular medicine reports·2012

Related Experiment Video

Updated: Dec 11, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K

Hedging crash risk in optimal portfolio selection.

Shushang Zhu1, Wei Zhu1, Xi Pei2

  • 1Department of Finance and Investment, Sun Yat-Sen Business School, Sun Yat-Sen University, Guangzhou 510275, China.

Journal of Banking & Finance
|August 25, 2020
PubMed
Summary

Portfolio diversification fails during market crashes. This study integrates crash risk into portfolio management using convex conic programming for better hedging and optimization strategies, validated by simulations and empirical data.

Keywords:
Crash riskGreeksHedged portfolioNormal riskSemidefinite programming

More Related Videos

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.3K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.0K

Related Experiment Videos

Last Updated: Dec 11, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.3K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.0K

Area of Science:

  • Quantitative Finance
  • Financial Engineering
  • Risk Management

Background:

  • Traditional portfolio diversification benefits diminish during market crashes.
  • Underlying assets often lose value simultaneously in severe downturns.
  • Existing portfolio management strategies may not adequately address crash risk.

Purpose of the Study:

  • To integrate crash risk into portfolio management.
  • To investigate performance measures, hedging, and optimization involving derivatives.
  • To develop a tractable framework for portfolio selection under crash risk.

Main Methods:

  • Convex conic programming framework.
  • Parametric approximation method for problem tractability.
  • Simulation analysis and empirical studies for validation.

Main Results:

  • Demonstrated the failure of diversification during market crashes.
  • Proposed a convex conic programming approach for portfolio optimization with crash risk.
  • Validated the proposed method through simulations and empirical data analysis.

Conclusions:

  • Integrating crash risk is crucial for robust portfolio management.
  • The proposed framework offers a tractable solution for optimizing portfolios under extreme market conditions.
  • The approach enhances hedging and performance measurement during market downturns.