Irene Aldridge on Big Data's Potential Impact on Market Stability & Trader Profitability

26:20
 
Share
 

Manage episode 282554001 series 2602074
By Richard Carthon. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

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

financial services.

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

~

Follow us on Instagram, Twitter, Facebook, LinkedIn, Pinterest, Discord, Tik Tok and Uptrennd today!

~

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.

~

We were featured as one of the Top 25 Cryptocurrency Podcasts and one of the 16 Best Cryptocurrency Podcasts in 2020.

~

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 :)

186 episodes