Dein Suchergebnis zum Thema: Model

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HV HMS verleiht zum elften Mal den Wissenschaftspreis | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/hauptverwaltungen-filialen/hms/termine/hv-hms-verleiht-zum-elften-mal-den-wissenschaftspreis-900238

Am 8. November verlieh die HV HMS zum elften Mal für hervorragende Dissertationen und Abschlussarbeiten den Wissenschaftspreis, dieses Mal wieder in einer Präsenzveranstaltung.
seine Masterarbeit ,,Optimal Monetary Policy in an Estimated Medium- Scale DSGE Models

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Central bank’s role in the cash cycle – how to monitor private cash recycling and possible options for involvement (5/5) | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/central-bank-s-role-in-the-cash-cycle-how-to-monitor-private-cash-recycling-and-possible-options-for-involvement-5-5--917818

This online course is aimed at those central bank employees who are interested in the national cash cycle in their country of origin or who would like an insight into how the Bundesbank organises its monitoring activities. The online course will also be of particular interest for cash analysis experts or their superiors.
certification process Reporting requirements  Cash cycle and private recirculation models

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Monetary policy implementation – importance of market intelligence | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/monetary-policy-implementation-importance-of-market-intelligence-917828

The expert panel is targeted at mid-level and senior-level central bankers who are directly involved in monetary policy implementation or research, with many years of experience (minimum five years) in this field. Participants should have extensive knowledge and a sound understanding of monetary policy implementation, operational frameworks and research. They will be expected to contribute actively to the panel by presenting the work/viewpoint of their central bank on this topic.
the importance of this work and demonstrate that a number of different tools or models

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Analytical tools for monetary policy | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/analytical-tools-for-monetary-policy-940466

Mid-level central bank officials working in the area of monetary analysis and/or financial market analysis. Potential candidates who wish to apply for the course should have a sound understanding of macroeconomic theory and are expected to be familiar with basic econometrics as well as commonly used modelling techniques. Knowledge of matlab is preferred. Whilst our specialists will primarily report on practices within the Deutsche Bundesbank, participants of this course will also be encouraged to actively engage with each other and, where appropriate, prepare presentations in workshops and exercises to provide insights into the respective frameworks of their own countries.
of banks in monetary policy transmission Policy advice with quantitative (DSGE) models

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Python – a crash course for central bankers | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/python-a-crash-course-for-central-bankers-940744

The course is designed for staff working in information technology, statistics or research departments at central banks and regulatory and supervisory authorities with an interest in applying machine learning methods with Python. It is not aimed at those who already have extensive and advanced knowledge of Python. Indeed, little prior knowledge is expected, and the necessary Python skills are covered at the beginning, making the course suitable for previously inexperienced staff. It may be interesting for those who wish to switch from the programming language R to Python.
participants will learn how to use Python to analyse data, create machine learning models

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Python for Data Science – A crash course | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/python-for-data-science-a-crash-course-917798

The course is designed for staff working in information technology, statistics or research departments in central banks and regulatory and supervisory authorities with an interest in applying machine learning methods with Python. It is not aimed at those who already have extensive and advanced knowledge of Python.
participants will learn how to use Python to analyse data, create machine learning models

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Marktrisiko | Deutsche Bundesbank

https://www.bundesbank.de/de/aufgaben/bankenaufsicht/einzelaspekte/eigenmittelanforderungen/marktrisiko

Marktrisiken sind Verlustrisiken an bilanziellen und außerbilanziellen Positionen, die sich aus nachteiligen Marktpreisbewegungen ergeben. Die Capital Requirements Regulation (CRR) regelt die Eigenkapitalunterlegung von Fremdwährungs- und Rohwarenrisiken des Anlagebuchs und des Handelsbuchs eines Instituts sowie die Positionsrisiken (zins- und aktienkursbezogene Risiken) des Handelsbuchs. Die Ermittlung der Marktrisiken erfolgt mittels Standardverfahren oder institutsinternen Risikomodellen.
internen Modelle hat die EZB im Februar 2017 das Projekt Targeted Review of Internal Models

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Financial stability – systemic risk, macroprudential policy and stability analysis | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/financial-stability-systemic-risk-macroprudential-policy-and-stability-analysis-940740

This course is aimed at central bank officials working in the area of financial stability. Participants should have a sound understanding of the surveillance and analysis of systemic risk and macroprudential policy. Input from participants on current developments in their home countries is appreciated. The course may also be of interest to staff working in other central bank areas related to financial stability, such as banking supervision, monetary policy or payment systems.
Macroprudential surveillance of systemically important institutions Early warning models

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