CREDIT AND OPERATIONAL RISKS MEASUREMENT | Università degli studi di Bergamo - Didattica e Rubrica

CREDIT AND OPERATIONAL RISKS MEASUREMENT

Attività formativa monodisciplinare
Codice dell'attività formativa: 
910009-ENG

Scheda dell'insegnamento

Per studenti immatricolati al 1° anno a.a.: 
2022/2023
Insegnamento (nome in italiano): 
CREDIT AND OPERATIONAL RISKS MEASUREMENT
Insegnamento (nome in inglese): 
CREDIT AND OPERATIONAL RISKS MEASUREMENT
Tipo di attività formativa: 
Attività formativa Affine/Integrativa
Tipo di insegnamento: 
Obbligatoria
Settore disciplinare: 
METODI MATEMATICI DELL'ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE (SECS-S/06)
Anno di corso: 
1
Anno accademico di offerta: 
2022/2023
Crediti: 
6
Responsabile della didattica: 

Altre informazioni sull'insegnamento

Modalità di erogazione: 
Didattica Convenzionale
Lingua: 
Inglese
Ciclo: 
Secondo Semestre
Obbligo di frequenza: 
No
Ore di attività frontale: 
48
Ore di studio individuale: 
102
Ambito: 
Attività formative affini o integrative
Prerequisites

Basics in portfolio theory, term structure and its stochastic evolution, option theory.

Educational goals

The specific objectives of the course in Management, Finance and International Business in mathematics and statistics are to prove the necessary quantitative knowledge for understanding the patterns underlying the risk management of financial intermediaries.
Consistent with these objectives will be presented simple mathematical models for measuring and controlling credit risk and operational. The main purpose of the course is that the student approachs a number of sophisticated techniques and concepts in a simple way.

Course content

A) Market Risk
1. Volatility, correlations and copulas, Value at risk and Expected shortfall, Historical simulation and EVT.
2.The evolution of the price of a stock: binomial tree. Risk neutral evaluation.

B) Credit risk
1. Introduction: exposure at default, event of default, severity and recovery rate. Conditional and unconditional default probabilities. Intensity of default. Bernoullian approach: expected loss, unexpected loss and Economic capital.

2. Default probability: how to derive historical and risk neutral default probability from market data.

3. Structural models and reduced form models: Merton, KMV, Jarrow e Turnbull, Jarrow, Lando e Turnbull.

4. Portfolio models: default correlation Gaussian copula Credit Metrics Portfolio Manager Credit Portfolio View Credit Risk Plus.

5. Credit derivatives : definition and pricing . Credit default products. Basket products; the k-to default CDS, Collateralized Debt Obligation, CDS indices: CDX and iTRAXX .

C) Operational risk
1.Characteristics of operational risk data.
2. Basic indicator approach, Standardized method and AMA LDA ( Loss Distribution Approach) and the Standardized Measurement Approach (SMA) .

Teaching methods

Teaching takes place through frontal lessons with a focus on a direct dialogue with students.
Laboratories are planned to put into practice the theoretical models studied, in order to stimulate an effective understanding through the construction of simple prototypes of the introduced models. Interaction with students is also provided through the use of e-learning.

Assessment and Evaluation

The final exam consists of three oral questions that cover the following topics: credit risk, credit derivatives and operational risk.

Further information

If the course will be on line, changes can be made compared to what is
stated in the syllabus to the contents course and exams.