Eric Balchunas is an ETF Analyst at Bloomberg. In this role, he manages ETF data on the Bloomberg terminal. He also appears in a weekly on-air segment for Bloomberg TV and Radio called "Exchange-Traded Friday" in which he discusses different ETFs and the way investors can utilize them.
And he also knows a few things about behavioral scienceIf putting ETFs together to make a portfolio is a bit like cooking, then Dan Egan of robo-adviser Betterment LLC is a master chef. On the fourth episode of Trillions, we get a first-hand look at how a professional builds ETF portfolios that work for different types of investors with varied goals.
What questions should you ask about an ETF before you make an investment? What about when two or three ETFs seem practically the same? In this episode, Todd Rosenbluth, a mutual fund and ETF analyst with CFRA, joins the podcast to discuss his due diligence checklist. This is a topic that can get weedy in a hurry; if you're new to ETFs, just think of it like you’re looking under the hood of a car.
Where do you start? The same way as when you’re in a store: One aisle at a time. Right now there are about 2,100 ETFs—2,087 if you want to get specific about it. That’s a lot of stuff to choose from. How should you approach navigating a store with this much selection? One aisle at a time. On the second episode of Bloomberg’s new podcast, Trillions, we take a stroll through the most popular aisles to meet some ETFs and get a better sense of the offerings.
@newplacetuesday@DaveNadig@MStarETFUS I'm surprised no one has developed a metric that spits out where your limit order should be for an ETF based on a series of inputs: past trades, implied liquidity etc..
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".