Applied statistics | Econometrics

Risk score

Risk score (or risk scoring) is the name given to a general practice in applied statistics, bio-statistics, econometrics and other related disciplines, of creating an easily calculated number (the score) that reflects the level of risk in the presence of some risk factors (e.g. risk of mortality or disease in the presence of symptoms or genetic profile, risk financial loss considering credit and financial history, etc.). Risk scores are designed to be: * Simple to calculate: In many cases all you need to calculate a score is a pen and a piece of paper (although some scores use rely on more sophisticated or less transparent calculations that require a computer program). * Easily interpreted: The result of the calculation is a single number, and higher score usually means higher risk. Furthermore, many scoring methods enforce some form of monotonicity along the measured risk factors to allow a straight forward interpretation of the score (e.g. risk of mortality only increases with age, risk of payment default only increase with the amount of total debt the customer has, etc.). * Actionable: Scores are designed around a set of possible actions that should be taken as a result of the calculated score. Effective score-based policies can be designed and executed by setting thresholds on the value of the score and associating them with escalating actions. (Wikipedia).

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QRM L1-1: The Definition of Risk

Welcome to Quantitative Risk Management (QRM). In this first class, we define what risk if for us. We will discuss the basic characteristics of risk, underlining some important facts, like its subjectivity, and the impossibility of separating payoffs and probabilities. Understanding the d

From playlist Quantitative Risk Management

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QRM L1-2: The dimensions of risk and friends

Welcome to Quantitative Risk Management (QRM). In this second video, we analyse the dimensions of risk. Risk is in fact an object that we need to consider from different points of view, and that sometimes we cannot even quantify. We will also discuss the importance of statistical thinking

From playlist Quantitative Risk Management

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What is Value at Risk? VaR and Risk Management

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From playlist Risk Management

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Risk Management Lesson 5A: Value at Risk

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From playlist Risk Management

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How do you calculate value at risk? Two ways of calculating VaR

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From playlist Risk Management

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QRM L2-1: Risk Measures

Welcome to Quantitative Risk Management (QRM). In this lesson we introduce the axiomatic approach to risk measures. We give the definition of risk measure and we discuss what its uses for us are in terms of reserve capital quantification. We then define coherent and convex measures. The p

From playlist Quantitative Risk Management

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Risk Assessment: Likelihood Determination

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From playlist Center for Applied Cybersecurity Research (CACR)

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From playlist z-test

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Definition of a Z-Score

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From playlist Statistics

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From playlist Interpretability, safety, and security in AI

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IT Security Tutorial - Risk assessments and risk scores

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IT Security Tutorial - Risk assessments and risk scores

Learn how risk assessments help to protect your organization's information systems from threats and vulnerabilities. Explore more IT Security courses and advance your skills on LinkedIn Learning: https://www.linkedin.com/learning/topics/security-3?trk=sme-youtube_M143014-68-01_learning&src

From playlist IT Security

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QRM L2-3: VaR and ES in R

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From playlist Quantitative Risk Management

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