Fiat value in the theory of value, by Edward C Prescott (Arizona State Univer...ADEMU_Project
Technology is rapidly advancing in the information processing area, which is changing the monetary/payment system. It's now technically feasible to have a currency–less monetary system; Professor Prescott explores such a system.
How to manage Interest Rate Risk in the Banking Book considering the monetary...Ziad Fares
The past few years have seen central banks use unconventional tools to stimulate an economy that has kept on struggling since the 2008 crisis. In order to avoid deflation and other economic turmoil, the FED launched a massive bond-buying program called the Quantitative Easing (QE). After the American “experiment”, the ECB launched a similar program early march 2015 as an emergency stimulus to a weakened economy. Such unconventional monetary policy has an impact on interest rates, and therefore, requires a closer monitoring of the Interest Rate Risk in the Banking Book (IRRBB). In such a context, this white paper focuses on understanding how current market conditions (low interest rates) can affect banks’ revenues and profitability while discussing and analyzing the impacts of any changes of the term structure of yield curves on the Net Interest Income. Additionally, as regulators are taking a closer look on how to capture (and cover) the IRRBB, this white paper provides a methodology for measuring the IRRBB and analyzes, via simulations on a real portfolio, the impacts of interest rate moves on the Economic Value of Equity and the Earnings at Risk.
Conference: The Banking Union and the Creation of Duties - Department of Law, Robert Schuman Centre for Advanced Studies, European University Institute
By: Tobias Tröger, SAFE Chair of Private Law, Trade and Business Law, Jurisprudence / Goethe University Frankfurt
Fiat value in the theory of value, by Edward C Prescott (Arizona State Univer...ADEMU_Project
Technology is rapidly advancing in the information processing area, which is changing the monetary/payment system. It's now technically feasible to have a currency–less monetary system; Professor Prescott explores such a system.
How to manage Interest Rate Risk in the Banking Book considering the monetary...Ziad Fares
The past few years have seen central banks use unconventional tools to stimulate an economy that has kept on struggling since the 2008 crisis. In order to avoid deflation and other economic turmoil, the FED launched a massive bond-buying program called the Quantitative Easing (QE). After the American “experiment”, the ECB launched a similar program early march 2015 as an emergency stimulus to a weakened economy. Such unconventional monetary policy has an impact on interest rates, and therefore, requires a closer monitoring of the Interest Rate Risk in the Banking Book (IRRBB). In such a context, this white paper focuses on understanding how current market conditions (low interest rates) can affect banks’ revenues and profitability while discussing and analyzing the impacts of any changes of the term structure of yield curves on the Net Interest Income. Additionally, as regulators are taking a closer look on how to capture (and cover) the IRRBB, this white paper provides a methodology for measuring the IRRBB and analyzes, via simulations on a real portfolio, the impacts of interest rate moves on the Economic Value of Equity and the Earnings at Risk.
Conference: The Banking Union and the Creation of Duties - Department of Law, Robert Schuman Centre for Advanced Studies, European University Institute
By: Tobias Tröger, SAFE Chair of Private Law, Trade and Business Law, Jurisprudence / Goethe University Frankfurt
Nos recommandations pour votre page Facebook en 2016
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3. Utilisez les nouveaux types de contenus et outils
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Презентация Саши Федотов (Ашманов и партнеры Украина) про методы и практики post-click маркетинга с конференции iPromo.com.ua прошедшей 21.09.2010 в Киеве, Украина
This paper presents two models of key determinants in the evolution of the shadow banking system. First of all, a shadow banking measure is built from a European perspective. Secondly, information on several variables is retrieved basing their selection in previous literature. Thirdly, those variables are grouped in: 1) the base model: real GDP, Institutional investors’ assets, term-spread, banks’ net interest margin and liquidity; and 2) the extended model: the former five plus an indicator of systemic stress, an index of banking concentration and inflation. Finally, regression analysis on those models is conducted for different countries’ samples. Both OLS and panel data analysis is undergone. Results suggest important and consistent geographical differences in relations between shadow banking and key determinant variables’ effects. Thus, this essay provides financial authorities with a valuable benchmark to which they should pay attention before designing optimal policies seeking to reduce the financial risk that shadow banking entails.
Klaus Schmidt-Hebbel - Catholic University of Chile
Raimundo Soto - Catholic University of Chile
ERF Training on Advanced Panel Data Techniques Applied to Economic Modelling
29 -31 October, 2018
Cairo, Egypt
Nos recommandations pour votre page Facebook en 2016
1. Pensez résultat
2. Diversifiez vos contenus
3. Utilisez les nouveaux types de contenus et outils
4. Ciblez et payez
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... et formez-vous > http://www.valeriedemont.ch/les-formations/
Презентация Саши Федотов (Ашманов и партнеры Украина) про методы и практики post-click маркетинга с конференции iPromo.com.ua прошедшей 21.09.2010 в Киеве, Украина
This paper presents two models of key determinants in the evolution of the shadow banking system. First of all, a shadow banking measure is built from a European perspective. Secondly, information on several variables is retrieved basing their selection in previous literature. Thirdly, those variables are grouped in: 1) the base model: real GDP, Institutional investors’ assets, term-spread, banks’ net interest margin and liquidity; and 2) the extended model: the former five plus an indicator of systemic stress, an index of banking concentration and inflation. Finally, regression analysis on those models is conducted for different countries’ samples. Both OLS and panel data analysis is undergone. Results suggest important and consistent geographical differences in relations between shadow banking and key determinant variables’ effects. Thus, this essay provides financial authorities with a valuable benchmark to which they should pay attention before designing optimal policies seeking to reduce the financial risk that shadow banking entails.
Klaus Schmidt-Hebbel - Catholic University of Chile
Raimundo Soto - Catholic University of Chile
ERF Training on Advanced Panel Data Techniques Applied to Economic Modelling
29 -31 October, 2018
Cairo, Egypt
Stress Testing and the Impact that Over-Reliance on VaR as a risk metric in t...Conor Cooney
A Presentation on the Development of Stress Testing.
Demonstrating the impact that Risk Management Models had on the Great Recession and what lessons can be learned from it.
There is also a demonstration of an Irish example of a successful stress test, that was one of the fundamental focal points in the lead up to the state's exit from an IMF bailout programme
Data Quality in the Banking Industry: Turning Regulatory Compliance into Busi...Precisely
During the last 15 years, regulatory requirements in financial services have grown substantially in order to reduce the risk of global, systemic economic failure. Quality data provided through effective data governance and data quality processes is central to achieving effective compliance reporting. Not only does data quality help ensure accurate reporting, but successful compliance significantly enhances other business decisions which rely on high quality data.
This webinar looks at the ramp up in reporting complexity, how successful compliance is linked to data governance and data quality, and how data quality helps empower financial institutions to make better decisions to increase revenue and decrease expense.
View this webinar on-demand for a discussion on:
• Tracing the background for regulatory reporting and key financial regulations
• Understanding how data quality helps institutions succeed with regulatory reporting compliance
• How regulatory reporting improves data for other business decisions
• How financial institutions leverage Trillium DQ to deliver quality data
In this presentation I gave in the Financial Republic’s 2017 CECL Conference, I discussed the impacts of CECL on modeling and risk management with a focus on the reasonable and supportable forecast.
Ready for the next recession? Assessing the UK’s macroeconomic frameworkResolutionFoundation
The UK economy is facing its highest risk of recession since 2007, as Brexit uncertainty and global instability loom large. When the next downturn will arrive is impossible to say, but now is a good time to ensure that we are ready to respond. Crucially the world has moved on since we last prepared our framework – the tools we used to fight the last recession won’t necessarily work for the next one.
How severe are the constraints of near zero interest rates on monetary policy? What is the potential for Quantitative Easing to replay its major financial crisis role? And while there is a generally accepted case for a wider role for fiscal policy, are we ready to deploy it as effectively as possible?
The Resolution Foundation is setting up a new Macroeconomic Policy Unit to get to the bottom of these big economic questions and more. To mark its launch, the Foundation hosted an event that brought together leading macroeconomists and policy makers. The launch included the publishing of a comprehensive assessment of the UK’s current macroeconomic policy framework. Speakers included MPC Member Gertjan Vlieghe and Head of Bloomberg Economics Stephanie Flanders.
Speakers:
Gertjan Vlieghe, Member of the Monetary Policy Committee
Stephanie Flanders, Head of Bloomberg Economics
Kate Barker, Former MPC member
Rupert Harrison, Portfolio Manager at Blackrock
James Smith, Research Director at the Resolution Foundation
Torsten Bell, Chief Executive of the Resolution Foundation (Chair)
Raimundo Soto - Catholic University of Chile
Klaus Schmidt-Hebbel - Catholic University of Chile
ERF Training on Advanced Panel Data Techniques Applied to Economic Modelling
29 -31 October, 2018
Cairo, Egypt
This slide deck describes how CBO used a Markov-switching model to assess the uncertainty of the economic forecast presented in CBO’s Current View of the Economy in 2023 and 2024 and the Budgetary Implications (November 2022).
Presentation by Wendy Edelberg, CBO’s Assistant Director for Macroeconomic Analysis, and Teri Gullo, CBO's Assistant Director for Budget Analysis, to Congressional Staff.
CBO provides formal, written estimates of the cost of virtually every bill approved by Congressional committees to show how the bill would affect spending or revenues over the next 5 or 10 years, depending on the type of spending involved. In May, the Congress adopted a concurrent resolution on the budget for fiscal year 2016 that requires CBO, to the greatest extent practicable, to incorporate macroeconomic effects into its 10-year cost estimates for major legislation that Congressional committees approve. Such estimates must also include, when practicable, a qualitative assessment of the budgetary effects for the following 20 years. Incorporating such macroeconomic feedback into cost estimates is often called dynamic scoring. This presentation describes how CBO will prepare such estimates.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
Sea 2011
1. Current Account Dynamics:
A SVAR Analysis When the
Structural Shocks are not
Orthogonal
César R. Sobrino- Universidad del Turabo
Email: sobrinoc1@suagm.edu
Ellis Heath- Valdosta State University
Email: ebheath@valdosta.edu
2. Motivation
• Using Canada and UK, Kano (2008)
analyzes the Intertemporal Current
Account Approach (ICA).
• For a small open economy:
• Current account is independent of global
shocks.
• Current account responds positively to a
positive country-specific temporary shock.
• Current account does not respond to
country-specific permanent shocks.
3. Motivation
• Three-variable SVAR with long run
restrictions. Blanchard & Quah (1989).
• Ex-ante global real interest rate, net
output growth and current account/net
output.
• Permanent shocks to those series are
the structural shocks.
• The variance-covariance matrix of
structural shocks is the identity
matrix.
4. Motivation
• Using a SVAR approach, his findings
fit predictions
• But, there two puzzles:
– Excessive response of the current
account to country-specific transitory
shock.
– Country-specific transitory shocks
dominate current account variations in
the short and long run, but they do no
play any role in net output growth
fluctuations.
5. Motivation
• No correlation assumptions might be
determining the Kano’s puzzles.
• Enders and Hurns (2007).
– SVAR with long-run restrictions and
structural shocks are correlated at
leads.
– Idiosyncratic shocks should be
correlated due to fiscal and monetary
policies.
9. In this setup
• 9 unknowns:
– three elements of B(0)
– The variances of the structural shocks
– The covariances of structural shocks
• 7 equations
– 6 elements of variance-covariance
matrix of observed residuals.
– A long run restriction:
10. In this setup
• Just identified system ,assuming no
correlation between the global shock
and idiosyncratic shocks.
• Then, idiosyncratic shocks are
correlated at leads.
• Two schemes
13. Data
• IMF, quarterly 1971:1-2006:2 for Canada and
UK
– The ex-ante global interest rate is a weighted
average of the ex-ante real interest rate minus the
forecasted inflation in the G7 countries.
– The net output is the real GDP minus investment
minus government expenses minus stock variation.
– The current account is the real GNP minus
consumption minus investment minus government
expenses minus stock variation
