In mathematical finance, the CEV or constant elasticity of variance model is a stochastic volatility model that attempts to capture stochastic volatility and the leverage effect. The model is widely used by practitioners in the financial industry, especially for modelling equities and commodities. It was developed by John Cox in 1975. (Wikipedia).
Elasticity of Demand - Part 1 of 2
http://mathispower4u.wordpress.com/
From playlist Business Applications of Differentiation and Relative Extrema
How an Equilibrium Constant varies with Temperature - Thermodynamics - Physical Chemistry
Deriving a quantitative relationship to show how an equilibrium constant varies with temperature and so showing were Le Chatelier's Principle comes from in this context. Along the way, the Gibbs-Helmholtz van't Hoff equations are derived and used. My video for deriving the thermodynamics
From playlist Introductory Thermodynamics
Data Science - Part XII - Ridge Regression, LASSO, and Elastic Nets
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of some modern regression techniques including a discussion of the bias varianc
From playlist Data Science
Stress & Strain - Elastic Modulus & Shear Modulus Practice Problems - Physics
This physics video tutorial provides practice problems associated with the elastic modulus and shear modulus of materials. It explains how to calculate the stress and strain of materials when an external force is applied. Stress is the ratio of force and area. Strain is the ratio of the
From playlist New Physics Video Playlist
Normal Stress and Normal Strain | Mechanical Properties of Solids | Don't Memorise
Stress and strain are basically classified into two types of stress and types of strain: Normal Stress/ Normal Strain and Shear Stress/ Shear Strain. To know what they mean, watch the video! (Mechanical Properties of Solids) In this video, we will learn: 0:00 Introduction 0:09 Types of
From playlist Physics
Data Science - Part IV - Regression Analysis and ANOVA Concepts
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of linear regression analysis, interaction terms, ANOVA, optimization, log-leve
From playlist Data Science
Determine Elasticity of Demand and Unit Elastic Price (Linear Demand)
This video explains how to determine the elasticity of demand and the unit elasticity price. http://mathispower4u.com
From playlist Business Applications of Differentiation and Relative Extrema
Relationship between the shear and axial strain is demonstrated. Lectures for Mechanics of Solids and Structures course at Olin College.
From playlist Lectures for mechanics of solids and structures
Elasticity & Hooke's Law - Intro to Young's Modulus, Stress & Strain, Elastic & Proportional Limit
This physics video tutorial provides a basic introduction into elasticity and hooke's law. The basic idea behind hooke's law is that the change in length of a stretching or compressing an object is proportional to the force applied up to the proportional limit. The elastic limit is the p
From playlist New Physics Video Playlist
A lesson on regularization with some applications in python
From playlist Regularization
From playlist Courses and Series
DDPS | Data-driven constitutive updates: from model-free poroelasticity to level set plasticity
Data-driven constitutive updates: from model-free poroelasticity to level set plasticity trained by neural networks by Steve WaiChing Sun (Columbia University) Description: We present an adaptive hybridized model-based/model-free strategy that ensures the feasibility of multi-physics simu
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Lots of ways to estimate volatility. In this map, I parse out implied volatility (forward looking) and deterministic (constant) and focus on stochastic volatility: volatility that changes over time, either via (conditional) recent volatility and/or random shocks. For more financial risk vi
From playlist Volatility
Manuel Athenes - Thermodynamic & transport properties of metal alloys: thermoelasticity & diffusion
Recorded 28 March 2023. Manuel Athenes of Commissariat à l'Énergie Atomique (CEA) - Centre d'Études Nucléaires de Saclay (CENS) presents "Conditioning schemes for accurately estimating thermodynamic and transport properties of metallic alloys: application to thermo-elasticity and elasto-di
From playlist 2023 Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
Active processes in cells and tissues (Lecture 3) by Frank Jülicher
INFOSYS-ICTS TURING LECTURES ACTIVE PROCESSES IN CELLS AND TISSUES SPEAKER: Frank Jülicher (Max Planck Institute for the Physics of Complex Systems, Dresden, Germany) DATE: 09 December 2019, 16:00 to 17:30 VENUE: Ramanujan Lecture Hall, ICTS-TIFR, Bengaluru Living matter is highly dyn
From playlist Infosys-ICTS Turing Lectures
C68 The physics of damped motion
See how the graphs of damped motion changes with changes in mass, the spring constant, and the initial value constants. The equations tell us which parameters influence the period, frequency and amplitude of oscillation.
From playlist Differential Equations
8 1 Stochastic Volatility Part 1
BEM1105x Course Playlist - https://www.youtube.com/playlist?list=PL8_xPU5epJdfCxbRzxuchTfgOH1I2Ibht Produced in association with Caltech Academic Media Technologies. ©2020 California Institute of Technology
From playlist BEM1105x Course - Prof. Jakša Cvitanić
From playlist Courses and Series
From playlist Courses and Series