L’iniziativa di Finriskalert.it “Il termometro dei mercati finanziari” vuole presentare un indicatore settimanale sul grado di turbolenza/tensione dei mercati finanziari, con particolare attenzione all’Italia.
Significato degli indicatori
Rendimento borsa italiana: rendimento settimanale dell’indice della borsa italiana FTSEMIB;
Volatilità implicita borsa italiana: volatilità implicita calcolata considerando le opzioni at-the-money sul FTSEMIB a 3 mesi;
Future borsa italiana: valore del future sul FTSEMIB;
CDS principali banche 10Ysub: CDS medio delle obbligazioni subordinate a 10 anni delle principali banche italiane (Unicredit, Intesa San Paolo, MPS, Banco BPM);
Tasso di interesse ITA 2Y: tasso di interesse costruito sulla curva dei BTP con scadenza a due anni;
Spread ITA 10Y/2Y : differenza del tasso di interesse dei BTP a 10 anni e a 2 anni;
Rendimento borsa europea: rendimento settimanale dell’indice delle borse europee Eurostoxx;
Volatilità implicita borsa europea: volatilità implicita calcolata sulle opzioni at-the-money sull’indice Eurostoxx a scadenza 3 mesi;
Rendimento borsa ITA/Europa: differenza tra il rendimento settimanale della borsa italiana e quello delle borse europee, calcolato sugli indici FTSEMIB e Eurostoxx;
Spread ITA/GER: differenza tra i tassi di interesse italiani e tedeschi a 10 anni;
Spread EU/GER: differenza media tra i tassi di interesse dei principali paesi europei (Francia, Belgio, Spagna, Italia, Olanda) e quelli tedeschi a 10 anni;
Euro/dollaro: tasso di cambio euro/dollaro;
Spread US/GER 10Y: spread tra i tassi di interesse degli Stati Uniti e quelli tedeschi con scadenza 10 anni;
Prezzo Oro: quotazione dell’oro (in USD)
Spread 10Y/2Y Euro Swap Curve: differenza del tasso della curva EURO ZONE IRS 3M a 10Y e 2Y;
The regulatory context is constantly changing: since
2012, over 50,000 regulations have been published throughout the G20.
In this regulatory landscape, compliance functions are
facing some key challenges:
Managing
Regulators: Respond to regulatory requirements with timeliness, protecting both the
brand and reputation;
Compliance
Strategy: Lead the strategic decision-making process from a regulatory compliance
standpoint;
Compliance
Operations: Reduce compliance costs by promoting transparency and managing
inefficiencies in paper-driven processes;
Consumer
Protection: Implement new solutions to enhance customers’ protection.
Current compliance tools used by financial
institutions are gradually reducing the capability to meet regulatory demands. Therefore,
in order to gather, analyze and compute all the required data, financial
institutions are using a variety of IT systems and are increasing manual
processes and the related operational risks.
A key issue is clearly arising: “how can a financial institution address compliance in a more efficient and less resource-consuming manner while improving the quality of data reported to regulatory supervisory authorities?” Within FinTech ecosystem there are a group of companies focused on meeting regulatory demands through innovative technologies: the RegTech Universe.
RegTech Universe
“RegTech (Regulatory Technology) is a subset of FinTech that focuses on technologies that may facilitate the delivery of regulatory requirements more efficiently and effectively than existing capabilities”.
Deloitte research on the RegTech Universe is an
ongoing exercise where we classify the regTech solutions in 5 key areas:
Regulatory Reporting: Enable automated data distribution and regulatory reporting through big data analysis, real time and cloud reports.
Risk Management: Detect regulatory and compliance risks, assess exposure to risk and anticipate future threats.
Identity Management & Control: Facilitate counterparty due diligence and Know Your Customer (KYC) procedures. AML and anti-fraud screening and detection. .
Compliance: Real time monitoring and tracking of current state of compliance and upcoming regulations
Transaction Monitoring: Solutions for real time transaction monitoring and auditing.
Considering the 5 key areas of RegTech
Universe, Deloitte has developed a RegTech platform, exploiting the knowledge
and expertise on technological enablers, gained through the EMEA Deloitte’s
Centers of Excellence:
RPA: Application of programmed software to perform
repetitive and rule-based tasks;
Artificial
Intelligence: Technology that reproduces
logical thinking normally requiring human intelligence;
Blockchain: Technologies used to track and speed up the
transaction lifecycle;
Big
data & analytics: Tools
and real time techniques that improve decision-making processes, starting from heterogeneous
data;
IoT: Technologies that allow the internet connection of
different types of devices in order to monitor, control and transfer
information, and then perform subsequent actions.
Through the abovementioned
enablers, RegTech introduces for the first time the following elements:
Agility: Cluttered and intertwined data sets can be de-coupled and organized through ETL (Extract, Transfer, Load) technologies;
Speed: Reports can be configured and generated quickly;
Integration: Short timeframes to get solution up and running;
Analytics: RegTech uses analytic tools to intelligently mine existing “big data” data sets and unlock their true potential e.g. using the same data for multiple purposes.
Regtech: Niche
solution
Regtech companies are therefore trying to exploit
technological innovation to meet regulatory demands whilst complexity Financial
Institutions have to manage is increasing:
Digitalization
Complex IT Architecture
High integration costs
Long and uncertain maintenance times
Regulatory Pressures
Increasingly
frequent inspections by Supervisory Authority
More
sophisticated control techniques
Analytical
tools capable of identifying compliance risks (including RegTech tools)
Confusing Vendor Landscape
Too many vendors cause confusion
Financial
institutions struggle to identify suitable partners
Data and Analytics
Inappropriate data management
Interpretation of increasingly complex data
Reporting
Localized
reports, unsuccessful handling of centrally-managed reports
Manual Processes
Complicated
manual procedures increase the possibility of error
People
are encouraged to ignore controls
The ability to cope with these issues is mandatory and RegTech companies may help Financial Institutions: the key success factor of RegTech versus “traditional solutions” is agility. The activities and processes covered by RegTech solutions go beyond regulatory reporting and is constantly increasing (e.g. see 5 RegTech Universe areas) and they all have one feature in common: the targeting of a very specific niche.
Digital
onboarding for financial services
“Identity Management and control” is one of the
categories in the “RegTech Universe” which horizontally contains all the issues
considered.
Digital onboarding enables a new and personalized
customer experience by simplifying the access to financial services while
reducing processing time and cost for financial institutions due to optimized
procedures:
Improved Customer Experience
Create faster and more flexible access to banking
services
Be perceived as innovative and reinforce brand image
Reduce document loss
Reduce
paper usage
Reduced Cost/Income Ratio
Reduce cost-to-serve
Improve sales effectiveness
Reduce failed client acquisitions
Automate and accelerate processes to enhance
operational efficiency and to reduce operational costs
Three key reasons for Financial Institutions to invest
on digital customer onboarding:
Customer
expectations in a mobile-first era.
Consumers are increasingly mobile-first and have already set the bar high in
terms of their expectations as regards speed, convenience, and security. To win
in this competitive landscape Financial Institutions must offer top class UX
combined with robust evidence that security and privacy are paramount.
Meeting
regulatory requirements. As
fraud becomes more and more sophisticated Financial Institutions may leverage
RegTech solutions such as Digital ID to meet D verification regulation.
Benefits
in ROI and Operational Cost Savings. Digitisation of KYC capabilities may generate tangible
cost savings for financial institutions, due to a significant reduction in
manual verification processes.
Curently there are several “niche solutions” in RegTech ecosystem that offer both complete solutions (covering the customer’s entire onboarding process) and partial solutions (specific to a part of the process, i.e. Mifid).
Key findings
RegTech providers/solutions
may help Financial Institution in meeting compliance adherence in an “agile
way”. These tech – enabled solutions will deliver transformation of Regulatory
Operations but in order to reach the full potential Financial
Institutions must have the capabilities:
to scan
the ecosystem and choose the solution that best fits with their specific needs;
to fully
integrate the solution into the their organization (processes and IT systems).
L’iniziativa di Finriskalert.it “Il termometro dei mercati finanziari” vuole presentare un indicatore settimanale sul grado di turbolenza/tensione dei mercati finanziari, con particolare attenzione all’Italia.
Significato degli indicatori
Rendimento borsa italiana: rendimento settimanale dell’indice della borsa italiana FTSEMIB;
Volatilità implicita borsa italiana: volatilità implicita calcolata considerando le opzioni at-the-money sul FTSEMIB a 3 mesi;
Future borsa italiana: valore del future sul FTSEMIB;
CDS principali banche 10Ysub: CDS medio delle obbligazioni subordinate a 10 anni delle principali banche italiane (Unicredit, Intesa San Paolo, MPS, Banco BPM);
Tasso di interesse ITA 2Y: tasso di interesse costruito sulla curva dei BTP con scadenza a due anni;
Spread ITA 10Y/2Y : differenza del tasso di interesse dei BTP a 10 anni e a 2 anni;
Rendimento borsa europea: rendimento settimanale dell’indice delle borse europee Eurostoxx;
Volatilità implicita borsa europea: volatilità implicita calcolata sulle opzioni at-the-money sull’indice Eurostoxx a scadenza 3 mesi;
Rendimento borsa ITA/Europa: differenza tra il rendimento settimanale della borsa italiana e quello delle borse europee, calcolato sugli indici FTSEMIB e Eurostoxx;
Spread ITA/GER: differenza tra i tassi di interesse italiani e tedeschi a 10 anni;
Spread EU/GER: differenza media tra i tassi di interesse dei principali paesi europei (Francia, Belgio, Spagna, Italia, Olanda) e quelli tedeschi a 10 anni;
Euro/dollaro: tasso di cambio euro/dollaro;
Spread US/GER 10Y: spread tra i tassi di interesse degli Stati Uniti e quelli tedeschi con scadenza 10 anni;
Prezzo Oro: quotazione dell’oro (in USD)
Spread 10Y/2Y Euro Swap Curve: differenza del tasso della curva EURO ZONE IRS 3M a 10Y e 2Y;
Euribor 6M: tasso euribor a 6 mesi.
I colori sono assegnati in un’ottica VaR: se il valore riportato è superiore (inferiore) al quantile al 15%, il colore utilizzato è l’arancione. Se il valore riportato è superiore (inferiore) al quantile al 5% il colore utilizzato è il rosso. La banda (verso l’alto o verso il basso) viene selezionata, a seconda dell’indicatore, nella direzione dell’instabilità del mercato. I quantili vengono ricostruiti prendendo la serie storica di un anno di osservazioni: ad esempio, un valore in una casella rossa significa che appartiene al 5% dei valori meno positivi riscontrati nell’ultimo anno. Per le prime tre voci della sezione “Politica Monetaria”, le bande per definire il colore sono simmetriche (valori in positivo e in negativo). I dati riportati provengono dal database Thomson Reuters. Infine, la tendenza mostra la dinamica in atto e viene rappresentata dalle frecce: ↑,↓, ↔ indicano rispettivamente miglioramento, peggioramento, stabilità rispetto alla rilevazione precedente.
Disclaimer: Le informazioni contenute in questa pagina sono esclusivamente a scopo informativo e per uso personale. Le informazioni possono essere modificate da finriskalert.it in qualsiasi momento e senza preavviso. Finriskalert.it non può fornire alcuna garanzia in merito all’affidabilità, completezza, esattezza ed attualità dei dati riportati e, pertanto, non assume alcuna responsabilità per qualsiasi danno legato all’uso, proprio o improprio delle informazioni contenute in questa pagina. I contenuti presenti in questa pagina non devono in alcun modo essere intesi come consigli finanziari, economici, giuridici, fiscali o di altra natura e nessuna decisione d’investimento o qualsiasi altra decisione deve essere presa unicamente sulla base di questi dati.
Last 13.06.2019 EIOPA
(European Insurance and Occupational Pensions Authority) and ECB (European
Central Bank) published the Common Minimum Standards for Data Revisions agreed
between themselves, the NSAs (National Supervisory Authorities) and the NCBs (National
Central Banks).
Because of the
integrated reported approach, Data Quality (DQ) is crucial in any data
management process: data reported by the insurance undertakings are used by both
NSAs in the review process, whose outcome is then submitted to EIOPA, and by
most NCBs to fill in the insurance corporation statistics, delivered to the ECB.
This leads to a need of a common understanding of the minimum level of DQ
required.
By agreeing on common
minimum standards, all authorities have aligned their expectations for the
minimum acceptable level of DQ for the purposes of the different uses of data. The
common minimum standards specify:
The request of revision
The synchronization
The timeliness
The explanatory notes and notices
The need for historical revision
[1] The common minimum
standards should not prevent stricter practices from being applied at national
level: the NSAs/NCBs still have the responsibility and the power to request
that financial institutions revise data when necessary. As the XBRL validations
cannot cover all DQ issues, it may happen that, after deeper controls carried
out by the insurance undertakings themselves, data may be occasionally
submitted a second time. Resubmissions are divided into (a) “revisions” (if
data points have changed) and (b) “duplications” (if there are no changes in
the data points, but duplications have been fixed).
[2] The
synchronisation states that the same data have to be available at all levels (i.e.
financial institutions, NSAs/NCBs, EIOPA, ECB) at all times: it
is important to keep consistency between EIOPA’s Central Repository, the ECB’s
statistical databases and NSA/NCB databases. Any revision of data should be
carried out at all levels of the transmission chain so that all parties
involved have the same data. Data should not be unilaterally modified at the
NCB or NCA level, unless in exceptional cases (identification of wrong data and
impossibility to fix them by the financial institution due to time
restrictions).
[3] NSAs and NCBs
shall send the revisions respectively to EIOPA and the ECB in a timely manner, reducing
time pressure for business users who need high-quality and stable data on
specific dates. Specifically:
NSAs shall send the data to
EIOPA within 1 week from the receiving or according to established schedules,
but at least once per month.
NCBs shall send the data to
ECB as quickly as possible and at maximum before the closing of the next
production period
[4] NSAs and NCBs
shall send a note explaining what trigger the revision of aggregated data in
case of all non-routine revisions and significant routine revisions. In case of
DQ issues reported by individual entities, the NSAs shall either use the
erroneous flag available in the XML metadata file of the EIOPA Central
Repository Specification or email EIOPA to informing of the need for revision.
[5] Back data should
be revised at least as far back as technically possible, given the operational
limitations of the data collection infrastructure, where an issue is identified
and supposed to lead to significant revisions, which could also affect the
past.
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