'Loss data' diaporamas de présentation

Operational Risk Training Managing Operational Risk & AMA Toronto Nov 3, 2011

Operational Risk Training Managing Operational Risk & AMA Toronto Nov 3, 2011. Bogie Ozdemir & Evren Cubukgil. Agenda - Morning. Agenda - Afternoon. Principles of an Effective Operational Risk Framework.

1.97k views • 142 slides

1-Phase Padmounted Transformer Loading Analysis using Smart Meters

1-Phase Padmounted Transformer Loading Analysis using Smart Meters. Michael L. Dyer P.E. Executive Engineer SRP. What we did. Twenty-five (25) REX 2 AGI nodes were installed in single phase padmounted transformers recording ( kWh & kVAh ) at fifteen (15) minute intervals

885 views • 74 slides

Institute of Operational Risk

Institute of Operational Risk. 2 nd Scottish Annual Conference 26th October 2012 (in conjunction with Glasgow Caledonian University).

627 views • 51 slides

500 views • 41 slides

Casualty Loss Reserve Seminar

Current Issues and Trends in Medical Malpractice. Casualty Loss Reserve Seminar. Edward Wrobel Gail Tverberg. September 12, 2006.

364 views • 35 slides

Managing Operational Risk Within Your Treasury Environment

Managing Operational Risk Within Your Treasury Environment. AGENDA. General points Impact of modern risk transfer Proven techniques to control and assess operational risk Objective approach to managing operational risk Exploiting operational VaR. Why is Operational Risk a hot topic?.

625 views • 34 slides

Operational Risk Capital: An Analysis Kabir Dutta ARIA Conference, Washington DC August 7, 2006

Operational Risk Capital: An Analysis Kabir Dutta ARIA Conference, Washington DC August 7, 2006 The views expressed in this presentation do not necessarily reflect those of the Federal Reserve System. Agenda. Characteristics of Data Capital Estimation Results. Data. Background.

439 views • 34 slides

415 views • 27 slides

389 views • 27 slides

Portfolio wide Catastrophe Modelling

Portfolio wide Catastrophe Modelling. Practical Issues. Overview. Applications of CAT models Pricing Portfolio optimization Input for DFA models Difficulties with the above and possible solutions Peril/country specific models compatibility issues Personal lines versus commercial business

341 views • 24 slides

Special Challenges With Large Data Mining Projects

Special Challenges With Large Data Mining Projects. CAS PREDICTIVE MODELING SEMINAR Beth Fitzgerald ISO October 2006. ?. ?. ?. ?. ?. ?. ?. ?. ?. Agenda. Project Overview Prior to Modeling Modeling Business Issues. Development of a Model - Project Overview. Data

246 views • 24 slides

Integrated Disaster Research: Issues Around Data

Integrated Disaster Research: Issues Around Data. Dr. Jane Rovins, CEM Executive Director. Issues. Globalization P opulation growth W idespread poverty C hanging climate. Urban areas Complex infrastructure Concentration and centralization of economic and political functions

251 views • 20 slides

Measuring and Managing Operational Risk

Measuring and Managing Operational Risk. Assessing Operational Risk Exposure. Required Process of Continuous Risk Assessment, Monitoring and Reporting. The Process. Risk Identification Assessment of Control Framework Risk Likelihood/Severity Assessment Measurement & Monitoring Reporting

349 views • 19 slides

Measuring and Managing Operational Risk

Measuring and Managing Operational Risk. Assessing Operational Risk Exposure. Required Process of Continuous Risk Assessment, Monitoring and Reporting. The Process. Risk Identification Assessment of Control Framework Risk Likelihood/Severity Assessment Measurement & Monitoring Reporting

197 views • 19 slides

Introduction

Introduction. Two types of data for catastrophe analysis Exposures treated as inputs Market Share Location Specific Losses are simulated from the models Experience is sparse Models are black boxes Common Problems. Exposures. Allows for management of exposures By geographic region

280 views • 16 slides

Economics of Extreme Climatic Events

258 views • 15 slides

Weather Index-based Insurance in China:

Weather Index-based Insurance in China:. Introduction (1). Background: - Growing frequency and severity of extreme weather events in China have caused very high economic losses. But Lack of modern risk management mechanisms to cope with these perils.

130 views • 12 slides

SNS Fast Beam Loss Monitors Final Design Review

SNS Fast Beam Loss Monitors Final Design Review. David M. Gassner. BLM System Design Features. Ion Chambers: Wide Dynamic Range (IC 6 Decades) ( 2 dn, 4 up) Gain adjustment (per channel) Beam intensities Detector shielding. Response Time Ion Chamber

228 views • 11 slides

Disaster Loss Data

Disaster Loss Data. Susan L. Cutter and Angelika Wirtz IRDR Science Committee. November 16, 2010 Beijing. Where we are. Meetings between UNDP Desenventar , MunichRe , SwissRe , CRED, Asian Disaster Reduction Center (Glide) on regional and global databases

341 views • 7 slides