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Who Pays When Markets Are Distorted? Manipulation Claims, Peer-Firm Losses, and Damages in Securities Litigation

When manipulation or fraud distorts market prices, losses rarely stop at one issuer. Learn to evaluate and plead manipulation claims under Rule 10b-5 and Section 9, contest price impact at class certification, establish peer-firm standing, and allocate damages among multiple defendants.

2026-12-11 12:00:00

Program Details

2026-12-11 12:00:00

2026-12-11 12:00:00

2h CLE Credits

2026-12-11 12:00:00

Program Details

2026-12-11 12:00:00

Program Details

2026-12-11 12:00:00

Over 1,000+ webinars

2026-12-11 12:00:00

Course Overview

The Fraud Happened at One Company. The Losses Hit the Whole Industry

2026-12-11 12:00:00

Market manipulation claims are among the hardest securities cases to plead and prove. They are also among the most valuable. After Lorenzo, scheme liability under Rule 10b-5(a) and (c) sits alongside the express remedy in Section 9. Manipulation now surfaces in convertible financings, deal pricing, tender offers, pre-IPO secondaries, and de-SPAC transactions. And when fraud is revealed at one company, competitors, suppliers, and lenders often see their stock prices fall too.

Lose the reliance presumption, and the class may never be certified. Lose the price-impact fight after Goldman, and case value shrinks. Misread Blue Chip Stamps, Menora Mivtachim v. Frutarom, or Slack v. Pirani, and peer-company investors lose standing. Misjudge PSLRA proportionate liability, and the wrong defendant pays. Ignore tower erosion, and D&O coverage disputes follow.

You walk out with practical frameworks for evaluating, pleading, and defending manipulation claims. You also gain a clear approach to assessing, litigating, and resolving securities cases that reach beyond a single issuer. These are judgment calls on price impact, loss causation, and damages allocation that no form answers for you.

Format

CLE Credit

2h CLE Credits

Level

Intermediate

Length

2

Key topics that will be covered

01
Pleading Private Manipulation Claims
How Rule 10b-5(a) and (c) scheme liability after Lorenzo, Exchange Act Sections 9(a)(2) and 9(f), and the ATSI and Set Capital pleading standards change the way you separate actionable manipulation from legitimate open-market trading.
02
Deal and Private-Market Manipulation
How “death spiral” convertible financings, marking the close to move deal pricing, Section 14(e) tender-offer claims, and pre-IPO, private fund, and de-SPAC pricing change where you look for manipulation exposure.
03
Reliance and Class Certification
How the availability of a Basic-style presumption for manipulation claims and price-impact disputes after Goldman change the way you build or attack a class certification record.
04
Measuring and Allocating Damages
How artificial inflation and deflation, the duration of price impact, compensatory versus trading-profit measures, PSLRA proportionate liability, contribution claims, and plans of allocation change who pays and how much.
05
Peer-Firm Standing and Causation
How the evidence on peer-firm repricing, the Blue Chip Stamps purchaser-seller rule, Menora Mivtachim v. Frutarom, tracing after Slack v. Pirani, and sector-wide corrective disclosures change your standing and loss causation analysis.
06
Industry-Wide Exposure and Coverage
How accounting restatements, private-credit valuation problems, and regulatory sweeps trigger follow-on suits, and how D&O coverage disputes, tower erosion, and contagion-risk pricing change your insurance and indemnification strategy.

Program schedule

clock 12:00 pm - 1:00 pm EST

Proving Market Manipulation in Private Litigation: Claims, Class Certification, and Damages

Market manipulation claims are among the hardest securities cases to plead and prove, and among the most valuable when they succeed. This session examines the private causes of action available to investors and companies, including scheme liability under Rule 10b-5(a) and (c) after Lorenzo and the express remedy under Section 9 of the Exchange Act. It explains how courts separate manipulative conduct from ordinary open-market trading, and how manipulation claims arise around convertible financings, deal pricing, tender offers, and private and illiquid markets such as pre-IPO secondaries, private fund valuations, and de-SPAC transactions. The session then turns to the issues that decide what a case is worth: whether a presumption of reliance is available, how price-impact disputes play out at class certification after Goldman, and how damages are measured when prices are artificially inflated or depressed. Attendees will leave with a practical framework for evaluating, pleading, and defending manipulation claims.

Joshua MittsJoshua Mitts
clock 1:10 pm - 2:10 pm EST

When Fraud Spreads: Peer-Firm Losses, Standing, and Multi-Defendant Damages

When fraud is revealed at one company, the damage rarely stops there. Competitors, suppliers, lenders, and others in the same industry often see their stock prices fall as well, leaving investors with losses in companies that did nothing wrong. This session examines what the evidence shows about how far fraud-related losses reach and the legal questions that follow. It covers who has standing to sue under the Blue Chip Stamps purchaser-seller rule and recent decisions such as Menora Mivtachim v. Frutarom and Slack v. Pirani, how loss causation is proved when a corrective disclosure moves an entire sector, and how damages and settlements are divided among multiple defendants under the PSLRA. It also addresses industry-wide disclosure failures that set off follow-on suits, and what all of this means for D&O insurance and indemnification. Attendees will leave with a clear framework for assessing, litigating, and resolving securities cases that reach beyond a single issuer.

Joshua MittsJoshua Mitts
Joshua Mitts

Joshua Mitts

Columbia Law School

Joshua Mitts

Joshua Mitts

Columbia Law School

Joshua Mitts is the David J. Greenwald Professor of Law at Columbia Law School, where he uses advanced data science to conduct research on corporate and securities law. His primary focus is informed trading in capital markets and related topics in law and finance. Employing empirical methods including statistical analysis and machine learning, Professor Mitts studies short selling, securities lending, informed trading on cybersecurity breaches, information leakage and hedge fund activism, insider trading on corporate disclosures, and information transmission in financial markets—work that has made him a leading and frequently cited authority on the intersection of technology, trading, and market regulation.

Education & Credentials

Professor Mitts holds a Ph.D. in Finance and Economics from Columbia Business School (2018), a J.D. from Yale Law School (2013), and a B.A. in Liberal Studies from Georgetown University (2010). His interest in data science dates back to high school, when he won the Microsoft Windows Forms Coding Hero Award for developing software for the Microsoft .NET platform.

Recognition & Leadership

Professor Mitts joined the Columbia Law faculty in 2017 as associate professor of law and was named professor of law in 2022 before being appointed to the endowed David J. Greenwald professorship. He is a fellow of the Columbia Law School Program in the Law and Economics of Capital Markets and a member of the Center for Financial and Business Analytics at Columbia University's Data Science Institute. A widely sought voice on market structure and regulation, he is regularly quoted in national outlets including the Associated Press, CNBC, and Bloomberg News on topics such as prediction markets, short selling, and informed trading.

Professional Involvement

Professor Mitts frequently speaks at conferences, symposiums, and workshops, recently presenting his paper "A Legal Perspective on Technology and the Capital Markets: Social Media, Short Activism and the Algorithmic Revolution" at the New Special Study of the Securities Markets/FINRA Technology Conference. To help practitioners and scholars communicate more effectively with software engineers, he introduced the course Data and Predictive Coding for Lawyers to the Law School curriculum, and he taught at the Columbia Law Summer Program in American Law in Amsterdam in 2019. His research and commentary regularly inform public debate on emerging issues such as prediction markets and their implications for elections and securities regulation.

Experience

Professor Mitts's scholarship sits at the forefront of empirical corporate and securities law, applying quantitative methods to questions of market manipulation, disclosure, and the flow of information among sophisticated traders. His specialties span securities law, corporate law, financial contracts, law and finance, and empirical methods in law, and his teaching bridges the worlds of law, finance, and data science. Through his research, teaching, and public commentary—including analysis featured in litigation and policy debates over prediction markets—he has established himself as an influential scholar shaping how regulators, courts, and market participants understand technology's growing role in the capital markets.
Joshua Mitts

Joshua Mitts

Columbia Law School

Joshua Mitts is the David J. Greenwald Professor of Law at Columbia Law School, where he uses advanced data science to conduct research on corporate and securities law. His primary focus is informed trading in capital markets and related topics in law and finance. Employing empirical methods including statistical analysis and machine learning, Professor Mitts studies short selling, securities lending, informed trading on cybersecurity breaches, information leakage and hedge fund activism, insider trading on corporate disclosures, and information transmission in financial markets—work that has made him a leading and frequently cited authority on the intersection of technology, trading, and market regulation.

Education & Credentials

Professor Mitts holds a Ph.D. in Finance and Economics from Columbia Business School (2018), a J.D. from Yale Law School (2013), and a B.A. in Liberal Studies from Georgetown University (2010). His interest in data science dates back to high school, when he won the Microsoft Windows Forms Coding Hero Award for developing software for the Microsoft .NET platform.

Recognition & Leadership

Professor Mitts joined the Columbia Law faculty in 2017 as associate professor of law and was named professor of law in 2022 before being appointed to the endowed David J. Greenwald professorship. He is a fellow of the Columbia Law School Program in the Law and Economics of Capital Markets and a member of the Center for Financial and Business Analytics at Columbia University's Data Science Institute. A widely sought voice on market structure and regulation, he is regularly quoted in national outlets including the Associated Press, CNBC, and Bloomberg News on topics such as prediction markets, short selling, and informed trading.

Professional Involvement

Professor Mitts frequently speaks at conferences, symposiums, and workshops, recently presenting his paper "A Legal Perspective on Technology and the Capital Markets: Social Media, Short Activism and the Algorithmic Revolution" at the New Special Study of the Securities Markets/FINRA Technology Conference. To help practitioners and scholars communicate more effectively with software engineers, he introduced the course Data and Predictive Coding for Lawyers to the Law School curriculum, and he taught at the Columbia Law Summer Program in American Law in Amsterdam in 2019. His research and commentary regularly inform public debate on emerging issues such as prediction markets and their implications for elections and securities regulation.

Experience

Professor Mitts's scholarship sits at the forefront of empirical corporate and securities law, applying quantitative methods to questions of market manipulation, disclosure, and the flow of information among sophisticated traders. His specialties span securities law, corporate law, financial contracts, law and finance, and empirical methods in law, and his teaching bridges the worlds of law, finance, and data science. Through his research, teaching, and public commentary—including analysis featured in litigation and policy debates over prediction markets—he has established himself as an influential scholar shaping how regulators, courts, and market participants understand technology's growing role in the capital markets.

Credits by state

AK2.0
AL2.0
AR2.0
AZ2.0
CA2.0
CO2.0
CT2.0
DC2.0
DE2.0
FL2.0
GA2.0
HI2.0
IA2.0
ID2.0
IL2.0
IN2.0
KS2.0
KY2.0
LA2.0
MA2.0
MD2.0
ME2.0
MI2.0
MN2.0
MO2.4
MS2.0
MT2.0
NC2.0
ND2.0
NE2.0
NH120.0
NJ2.0
NM2.0
NV2.0
NY2.0
OH2.0
OK2.5
OR2.0
PA2.0
RI2.5
SC2.0
SD2.0
TN2.0
TX2.0
UT2.0
VA2.0
VT2.0
WA2.0
WI2.0
WV2.4
WY2.0

1000+

Live stream programs

24/7

Access to live webinars & recordings

70,000+

Trusted by Legal Professionals

1000+

Live stream programs

24/7

Access to live webinars & recordings

70,000+

Trusted by Legal Professionals

1000+

Live stream programs

24/7

Access to live webinars & recordings

10,000+

Trusted by Legal Professionals

1000+

Live stream programs

24/7

Access to live webinars & recordings

70,000+

Trusted by Legal Professionals

MCLE Credits

Alabama
Pending
Alaska
Approved
Arizona
Approved
Arkansas
Approved
California
Approved
Colorado
Pending
Connecticut
Approved
Delaware
Pending
District of Columbia
No Required
Florida
Approved
Georgia
Pending
Hawaii
Approved
Idaho
Pending
Illinois
Approved
Indiana
Pending
Iowa
Pending
Kansas
Pending
Kentucky
Pending
Louisiana
Pending
Maine
Pending
Maryland
No Required
Massachusetts
No Required
Michigan
No Required
Minnesota
Pending
Mississippi
Pending
Missouri
Approved
Montana
Pending
Nebraska
Pending
Nevada
Pending
New Hampshire
Approved
New Jersey
Approved
New Mexico
Approved
New York
Approved
North Carolina
Pending
North Dakota
Approved
Ohio
Pending
Oklahoma
Pending
Oregon
Pending
Pennsylvania
Approved
Rhode Island
Pending
South Carolina
Pending
South Dakota
No Required
Tennessee
Pending
Texas
Approved
Utah
Pending
Vermont
Approved
Virginia
Not Eligible
Washington
Approved
West Virginia
Pending
Wisconsin
Pending
Wyoming
Pending

Alabama

Requirements

The Alabama State Bar MCLE Commission requires attorneys to complete 12 credits, including 1 ethics, by December 31 of each year. All credits must be reported by February 15 of the following year. A maximum of 12 credits, including 1 ethics credit, may be carried over for 1 year only.  

Formats

  • Attorneys can earn unlimited “live” credit through live seminars, live webcasts, and co-sponsored locations with MyLAWCLE-Alabama approved programs
  • Attorneys are limited to 6 credits per compliance period of “online” programs through MyLAwCLE On-Demand programs