📄 Extracted Text (323 words)
To: Barrett, Paul
From: Jeffrey Epstein
Sent: Wed 5/9/2012 7:22:59 PM
Subject: Re: Calendar Spreads
you didn't provide stock price or all options
On Wcd, May 9, 2012 at 3:10 PM, Barrett, Paul S < > wrote:
Calendar Spreads — would do CSCO and PCLN as they report tonight.
On CSCO we would sell the May 19 Calls and buy the June 19 Calls for a net cost of $0.21
On PCLN we would sell the May 720 Calls and buy the June 720 Calls for a net cost of $12.00
Would look to spend $50,000 in premium per name
Implied
1st Month 2nd Month 1st/2nd Average
Next 1day
ATM ATM ATM historical
Earnings move on
Implied Implied Vol Implied
Date earning
Vol Vol spread Vol
s
05/09/201
CSCO Cisco Systems Inc 2 6.16 47.9 32.0 15.9 32.1
05/09/201
PCLN priceline.com Inc 2 9.13 70.7 46.9 23.8 46.9
05/10/201
MCP Molycorp Inc 2 9.52 87.0 68.9 18.2 68.9
05/11/201
NVDA NVIDIA Corp 2 7.67 64.4 47.3 17.1 47.5
Paul Barrett, CFA
Managing Director
EFTA_R1_00297340
EFTA01883274
Global Investment Opportunities Group
JPMorgan Private Bank
320 Park Avenue, 14th Floor, New York, NY 10022
(4) (F)
NMLS ID# 853441
This email is confidential and subject to important disclaimers and conditions including on offers
for the purchase or sale of securities, accuracy and completeness of information, viruses,
confidentiality, legal privilege, and legal entity disclaimers, available at
http://www.jomorgan.contipages/disclosurcskmail.
The information contained in this communication is
confidential, may be attorney-client privileged, may
constitute inside information, and is intended only for
the use of the addressee. It is the property of
Jeffrey Epstein
Unauthorized use, disclosure or copying of this
communication or any part thereof is strictly prohibited
and may be unlawful. If you have received this
communication in error, please notify us immediately by
return e-mail or by e-mail to jeep [email protected], and
destroy this communication and all copies thereof,
including all attachments. copyright -all rights reserved
EFTA_R1_00297341
EFTA01883275
ℹ️ Document Details
SHA-256
2fd6e64e80eddd350656ed7b1f4e786e13a5db4636a05d3476edf1e6fc045762
Bates Number
EFTA01883274
Dataset
DataSet-10
Document Type
document
Pages
2
Comments 0