Dealers are putting a new twist on old-school risk transfer trades in a bid to reduce the sharp capital swings they expect to encounter under new accounting standards. Several large European banks are understood to be in the advanced stages of structuring bespoke synthetic securitisations with the intention of smoothing expected spikes in loan-loss provisioning following the industry’s transition to IFRS 9, the new accounting regime set to enter into force in most jurisdictions on January 1, 20
Robert Engle is uneasy. An influential model developed by the Nobel prize-winning economist paints the largest insurers as a clear and present threat to financial stability, but over the past two months US regulators have taken a series of steps to shield these firms from tougher regulation. On September 29, US prudential regulators declared AIG – recipient of one of the biggest government bailouts during the financial crisis – no longer a threat to financial stability. The following week, US r
Banks are looking to use machine-learning techniques to build and run primary models themselves Banks are increasingly seeking to apply machine-learning techniques to the models they use for regulatory stress tests. Machine-learning algorithms – designed to quickly make sense of large, unstructured datasets – are already used by banks to validate the models built for the US Federal Reserve’s Comprehensive Capital Analysis and Review (CCAR).
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".