Manage episode 282554001 series 2602074
Irene Aldridge joins us to discuss how Big Data can have an impact on the market stability and trader profitability.
Irene Aldridge is a co-author of “Big Data Science in Finance” (with
Marco Avellaneda, Wiley 2020), an internationally-recognized
quantitative and Big Data Finance researcher, Adjunct Professor at
Cornell University and President and Managing Director, Research, of
AbleMarkets, a Big Data for Capital Markets company. She was named to
the Forbes’ Top 40-Over-40 Women’s List in 2017. Prior to AbleMarkets,
Aldridge designed and ran high-frequency trading strategies in a
$20-million cross-asset portfolio. Still previously, Aldridge was, in
reverse order, a quant on a trading floor; in charge of risk
quantification of commercial loans; Basel regulation team lead;
technology equities researcher; lead systems architect on large
integration projects, including web security and trading floor
globalization. Aldridge started her career as software engineer in
Aldridge holds a BE in Electrical Engineering from Cooper Union, and MS
in Financial Engineering from Columbia University, and an MBA from
INSEAD. In addition, Aldridge studied in two PhD programs: Operations
Research at Columbia University (ABD) and FInance (ABD). Aldridge is the
author of multiple academic papers and several books. Most notable
titles include “Big Data Science in Finance” (co-authored with Marco
Avellaneda, Wiley, 2020), “Real-Time Risk: What Investors Should Know
About Fintech, High-Frequency Trading, Flash Crashes” (co-authored with
Steve Krawciw, Wiley, 2017), “High-Frequency Trading: A Practical Guide
to Algorithmic Strategies and Trading Systems” (2nd edition, translated
into Chinese, Wiley 2013), and “The Quant Investor’s Almanac 2011: A
Road Map to Investing” (Wiley, 2010). Her recent academic publications
include “Neural Networks in Finance: Design and Performance” (with Marco
Avellaneda in the Journal of Financial Data Science, 2019), “Big Data in
Portfolio Management” (Journal of Financial Data Science, 2019), “ETFs,
High-Frequency Trading and Flash Crashes” (Journal of Portfolio
Management, 2016), and “High-Frequency Runs and Flash Crash
Predictability” (Journal of Portfolio Management, 2014). Aldridge
presently serves on the Editorial Advisory Board for the Journal of
Applied Data Science to Finance.
View this episode on our website here.
*Disclaimer. None of this information is financial advice.
New to crypto? Check out our Crypto for Beginners Step-by-Step Guide to Crypto Investing
Want to make ~$25+ a month for FREE? Sign up to get a FREE emrit.io Coolspot today!
Want to learn more about cryptocurrency? Check out our educational videos today!
Swan is the easiest and most affordable way to accumulate Bitcoin with automatic recurring purchases. Start your plan today and get $10 of free Bitcoin dropped into your account.
Want access to cool crypto/blockchain projects that you can use immediately? Check out our partnerships page!
Looking to attend a cryptocurrency or blockchain event? Check out our events page!
Tune in on Crypto Current TV throughout the week for a 24/7 crypto stream on the latest action on crypto markets, news, and interviews with the industry’s top experts!
Enjoying our podcast? Please leave us a 5 star review here!
Stay up to date with the latest news in cryptocurrency by opting-in to our newsletter! You will receive daily emails (M-S) that are personalized and curated content specific to you and your interests, powered by artificial intelligence.
Are you an accredited investor looking to invest in cryptocurrency? Check out Crescent City Capital.
Want to take educational courses on cryptocurrency & blockchain? Sign up for Blockchain Training Academy today!
Earn Interest. Receive Loans. Trade Crypto. Start Today! Learn more about how you can sign up for Blockfi
Want to be on our show or know someone who should? Contact us today!
We hope you are enjoying our cryptocurrency and blockchain educational content! We greatly appreciate donations, which all go directly towards creating even better educational content. Thank you for your generosity!
Buy us a coffee here :)