broker

Bayles pledges no impact on brokers amid Aviva personal lines changes

Aviva's chief distribution officer promises the provider will not exit any business lines as it cuts the number of personal lines products down to 40 from 400.




broker

Bicycle broker Laka to expand its product range

CEO and co-founder, Tobias Taupitz, discusses the start-up's expansion plans, its "coup" to have Amanda Blanc join its board, and why he believes Laka's pooled payment calculation model should be used across the industry.




broker

Finding a Forex Broker

Foreign exchange is the largest financial market and everyday new investors plan to jump in when they learn of the benefits, that is, high returns on investment which is as high as 20% per month a month. However, inexperience and over enthusiasm can only do bad and bring in losses so, you'll need an




broker

Mortgage Broker Training

If you are looking for a career change, you could consider the mortgage industry, as it gives individuals the opportunity to get onto the high earnings ladder, fast.




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Yacht Elielle and Yacht Sea Six Available for Sale in Fort Lauderdale Florida By Luxury Brokerage Worth Avenue Yachts

Worth Avenue Yachts is delighted to introduce ELIELLE and SEA SIX - two of their Central Agency listings in an ever-expanding range of yachts and superyachts for sale.




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Ackerman & Co. and Pioneer Land Group Broker Sale of 152 Acres Adjacent to Holland Park in New Smyrna Beach, Fla.

Purchase will enable the City to expand recently opened Holland Park and protect Turnbull Creek




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Weapon Depot Introduces New Social Marketplace and Brokering Experience

A whole new caliber of online buying and selling, new website and online community Weapon Depot introduces a social marketplace that goes beyond traditional brokering to bring weapon enthusiasts together like never before.




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Ackerman & Co. Brokers Sale of 65-Acre Exchange at Gwinnett Site for $17.95M

Brokers John Speros and Larry Wood represent Orkin family in sale of prime parcel located near Mall of Georgia




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Transworld Business Advisors Ranked #1 in Business Brokerage Industry by IBISWorld




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BenefitsGuide and Zywave's Broker Briefcase Benefits Edition Announce Integration

BenefitsGuide announced its integration with Zywave's Broker Briefcase® Benefits Edition sales and marketing software tool, creating a single point of data entry for an insurance agency's customer relationship management and marketing automation.




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Independent Financial Advisor, Doug Charney, of Charney Investment Group, Voted Simply the Best Stockbroker

Doug Charney Wins Simply the Best Stockbroker in a Reader's Choice Poll Conducted by Harrisburg Magazine.




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miEdge Ranks the 2018 Top 100 Large-group Employee Benefits Brokerages and Consulting Firms in the U.S.

miEdge is proud to partner with virtually every firm on the top 100 list and we congratulate them all for their outstanding achievements and client value propositions.




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Reuveni Real Estate Wins Another Condominium Project Assignment as the Exclusive Sales And Marketing Broker for 30 E 31 Street

The Ground-Up Property Offers the Highly Coveted 421 Tax Abatement




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MListingS is an MLS Management Service Designed to Get Brokers Listings Published Across the Web

Designed to help real estate brokers and agents get their MLS listings published across the web on up to 154 MLS publisher sites




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High-Producing Investment Sales Broker David Paulson Joins Ackerman & Co.

Paulson brings more than 30 years of commercial real estate brokerage experience, including investment sales, and landlord and tenant leasing.




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Ackerman & Co. Brokers Achieve Top Honors at the Atlanta Commercial Board of Realtor's 2020 Million Dollar Club Awards

Top 10 Producer Honors Are Awarded to Brian Lefkoff and Courtney Brumbelow of Ackerman Retail and John Speros of the Land Group




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Orlando Business Broker Michael Shea Awarded Top Broker Honors for Deal Volume and Co-Brokering by the Business Brokers of Florida

The Business Brokers of Florida Annual Awards Announced Michael Shea as Top Broker in Central Florida




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Health and Wellness Company Launches Pre-IPO Funding Round with Brokers Crowdfunder.com




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Global brokerages upbeat on RIL after third Jio deal, raise targets

CLSA maintained its 'buy' rating on the stock, with a target price of Rs 1,770.




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Brokers body seeks Sebi, FinMin intervention as Franklin closes 6 MF schemes

FTMF stunned all by deciding to shutter operations of six schemes with assets under management of more than Rs 25,000 crore late Thursday evening, citing redemption pressures and market volatilities in wake of the COVID-19 pandemic.




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Oil crash busted broker’s computers and inflicted big losses

What he didn’t know was oil’s first trip into negative pricing had broken Interactive Brokers Group Inc.




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SEC Provides for Phased CAT Broker-Dealer Reporting Timelines with Conditional Exemption for Impacts of COVID-19

The Securities and Exchange Commission announced it has voted to issue two exemptive orders in order to move Consolidated Audit Trail (CAT) implementation forward: (1) establishing a phased CAT reporting timeline for broker-dealers, and (2) permitting…




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Methods and systems for dynamically establishing one or more connections between a software application and a cluster of message broker

An exemplary method includes a broker-based messaging system detecting a request provided by a software application for the software application to connect to any one of a plurality of brokers included in a cluster of brokers, dynamically identifying, in response to the request and in accordance with a connection distribution heuristic, a broker included in the cluster of brokers and that is available for connection to the software application, and attempting to establish a connection between the software application and the broker. Corresponding methods and systems are also disclosed.




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Why Singapore Stock Broker-Turned-Entrepreneur Is Bullish On Asian Pop

Stock Broker-turned-entrepreneur Alan Chan Sets Sights On Investing In Not Just Kpop, But The "Asian Pop" Entertainment Business




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Oil Crash Busted Broker's Computers and Inflicted Big Losses

An anonymous reader quotes a report from Bloomberg: Syed Shah usually buys and sells stocks and currencies through his Interactive Brokers account, but he couldn't resist trying his hand at some oil trading on April 20, the day prices plunged below zero for the first time ever. The day trader, working from his house in a Toronto suburb, figured he couldn't lose as he spent $2,400 snapping up crude at $3.30 a barrel, and then 50 cents. Then came what looked like the deal of a lifetime: buying 212 futures contracts on West Texas Intermediate for an astonishing penny each. What he didn't know was oil's first trip into negative pricing had broken Interactive Brokers Group Inc. Its software couldn't cope with that pesky minus sign, even though it was always technically possible -- though this was an outlandish idea before the pandemic -- for the crude market to go upside down. Crude was actually around negative $3.70 a barrel when Shah's screen had it at 1 cent. Interactive Brokers never displayed a subzero price to him as oil kept diving to end the day at minus $37.63 a barrel. At midnight, Shah got the devastating news: he owed Interactive Brokers $9 million. He'd started the day with $77,000 in his account. To be clear, investors who were long those oil contracts had a brutal day, regardless of what brokerage they had their account in. What set Interactive Brokers apart, though, is that its customers were flying blind, unable to see that prices had turned negative, or in other cases locked into their investments and blocked from trading. Compounding the problem, and a big reason why Shah lost an unbelievable amount in a few hours, is that the negative numbers also blew up the model Interactive Brokers used to calculate the amount of margin -- aka collateral -- that customers needed to secure their accounts. "It's a $113 million mistake on our part," said Thomas Peterffy, the chairman and founder of Interactive Brokers, in an interview Wednesday. Customers will be made whole, Peterffy said. "We will rebate from our own funds to our customers who were locked in with a long position during the time the price was negative any losses they suffered below zero."

Read more of this story at Slashdot.




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Proposed MLS Policy Would Ensure Brokers Receive Their Own Listing Data

The move would close a loophole on an otherwise widespread practice.




broker

Squirrels and Stock Brokers, Or: Innovation Dilemmas, Robustness and Probability

Decisions are made in order to achieve desirable outcomes. An innovation dilemma arises when a seemingly more attractive option is also more uncertain than other options. In this essay we explore the relation between the innovation dilemma and the robustness of a decision, and the relation between robustness and probability. A decision is robust to uncertainty if it achieves required outcomes despite adverse surprises. A robust decision may differ from the seemingly best option. Furthermore, robust decisions are not based on knowledge of probabilities, but can still be the most likely to succeed.

Squirrels, Stock-Brokers and Their Dilemmas




Decision problems.
Imagine a squirrel nibbling acorns under an oak tree. They're pretty good acorns, though a bit dry. The good ones have already been taken. Over in the distance is a large stand of fine oaks. The acorns there are probably better. But then, other squirrels can also see those trees, and predators can too. The squirrel doesn't need to get fat, but a critical caloric intake is necessary before moving on to other activities. How long should the squirrel forage at this patch before moving to the more promising patch, if at all?

Imagine a hedge fund manager investing in South African diamonds, Australian Uranium, Norwegian Kroners and Singapore semi-conductors. The returns have been steady and good, but not very exciting. A new hi-tech start-up venture has just turned up. It looks promising, has solid backing, and could be very interesting. The manager doesn't need to earn boundless returns, but it is necessary to earn at least a tad more than the competition (who are also prowling around). How long should the manager hold the current portfolio before changing at least some of its components?

These are decision problems, and like many other examples, they share three traits: critical needs must be met; the current situation may or may not be adequate; other alternatives look much better but are much more uncertain. To change, or not to change? What strategy to use in making a decision? What choice is the best bet? Betting is a surprising concept, as we have seen before; can we bet without knowing probabilities?

Solution strategies.
The decision is easy in either of two extreme situations, and their analysis will reveal general conclusions.

One extreme is that the status quo is clearly insufficient. For the squirrel this means that these crinkled rotten acorns won't fill anybody's belly even if one nibbled here all day long. Survival requires trying the other patch regardless of the fact that there may be many other squirrels already there and predators just waiting to swoop down. Similarly, for the hedge fund manager, if other funds are making fantastic profits, then something has to change or the competition will attract all the business.

The other extreme is that the status quo is just fine, thank you. For the squirrel, just a little more nibbling and these acorns will get us through the night, so why run over to unfamiliar oak trees? For the hedge fund manager, profits are better than those of any credible competitor, so uncertain change is not called for.

From these two extremes we draw an important general conclusion: the right answer depends on what you need. To change, or not to change, depends on what is critical for survival. There is no universal answer, like, "Always try to improve" or "If it's working, don't fix it". This is a very general property of decisions under uncertainty, and we will call it preference reversal. The agent's preference between alternatives depends on what the agent needs in order to "survive".

The decision strategy that we have described is attuned to the needs of the agent. The strategy attempts to satisfy the agent's critical requirements. If the status quo would reliably do that, then stay put; if not, then move. Following the work of Nobel Laureate Herbert Simon, we will call this a satisficing decision strategy: one which satisfies a critical requirement.

"Prediction is always difficult, especially of the future." - Robert Storm Petersen

Now let's consider a different decision strategy that squirrels and hedge fund managers might be tempted to use. The agent has obtained information about the two alternatives by signals from the environment. (The squirrel sees grand verdant oaks in the distance, the fund manager hears of a new start up.) Given this information, a prediction can be made (though the squirrel may make this prediction based on instincts and without being aware of making it). Given the best available information, the agent predicts which alternative would yield the better outcome. Using this prediction, the decision strategy is to choose the alternative whose predicted outcome is best. We will call this decision strategy best-model optimization. Note that this decision strategy yields a single universal answer to the question facing the agent. This strategy uses the best information to find the choice that - if that information is correct - will yield the best outcome. Best-model optimization (usually) gives a single "best" decision, unlike the satisficing strategy that returns different answers depending on the agent's needs.

There is an attractive logic - and even perhaps a moral imperative - to use the best information to make the best choice. One should always try to do one's best. But the catch in the argument for best-model optimization is that the best information may actually be grievously wrong. Those fine oak trees might be swarming with insects who've devoured the acorns. Best-model optimization ignores the agent's central dilemma: stay with the relatively well known but modest alternative, or go for the more promising but more uncertain alternative.

"Tsk, tsk, tsk" says our hedge fund manager. "My information already accounts for the uncertainty. I have used a probabilistic asset pricing model to predict the likelihood that my profits will beat the competition for each of the two alternatives."

Probabilistic asset pricing models are good to have. And the squirrel similarly has evolved instincts that reflect likelihoods. But a best-probabilistic-model optimization is simply one type of best-model optimization, and is subject to the same vulnerability to error. The world is full of surprises. The probability functions that are used are quite likely wrong, especially in predicting the rare events that the manager is most concerned to avoid.

Robustness and Probability

Now we come to the truly amazing part of the story. The satisficing strategy does not use any probabilistic information. Nonetheless, in many situations, the satisficing strategy is actually a better bet (or at least not a worse bet), probabilistically speaking, than any other strategy, including best-probabilistic-model optimization. We have no probabilistic information in these situations, but we can still maximize the probability of success (though we won't know the value of this maximum).

When the satisficing decision strategy is the best bet, this is, in part, because it is more robust to uncertainty than another other strategy. A decision is robust to uncertainty if it achieves required outcomes even if adverse surprises occur. In many important situations (though not invariably), more robustness to uncertainty is equivalent to being more likely to succeed or survive. When this is true we say that robustness is a proxy for probability.

A thorough analysis of the proxy property is rather technical. However, we can understand the gist of the idea by considering a simple special case.

Let's continue with the squirrel and hedge fund examples. Suppose we are completely confident about the future value (in calories or dollars) of not making any change (staying put). In contrast, the future value of moving is apparently better though uncertain. If staying put would satisfy our critical requirement, then we are absolutely certain of survival if we do not change. Staying put is completely robust to surprises so the probability of success equals 1 if we stay put, regardless of what happens with the other option. Likewise, if staying put would not satisfy our critical requirement, then we are absolutely certain of failure if we do not change; the probability of success equals 0 if we stay, and moving cannot be worse. Regardless of what probability distribution describes future outcomes if we move, we can always choose the option whose likelihood of success is greater (or at least not worse). This is because staying put is either sure to succeed or sure to fail, and we know which.

This argument can be extended to the more realistic case where the outcome of staying put is uncertain and the outcome of moving, while seemingly better than staying, is much more uncertain. The agent can know which option is more robust to uncertainty, without having to know probability distributions. This implies, in many situations, that the agent can choose the option that is a better bet for survival.

Wrapping Up

The skillful decision maker not only knows a lot, but is also able to deal with conflicting information. We have discussed the innovation dilemma: When choosing between two alternatives, the seemingly better one is also more uncertain.

Animals, people, organizations and societies have developed mechanisms for dealing with the innovation dilemma. The response hinges on tuning the decision to the agent's needs, and robustifying the choice against uncertainty. This choice may or may not coincide with the putative best choice. But what seems best depends on the available - though uncertain - information.

The commendable tendency to do one's best - and to demand the same of others - can lead to putatively optimal decisions that may be more vulnerable to surprise than other decisions that would have been satisfactory. In contrast, the strategy of robustly satisfying critical needs can be a better bet for survival. Consider the design of critical infrastructure: flood protection, nuclear power, communication networks, and so on. The design of such systems is based on vast knowledge and understanding, but also confronts bewildering uncertainties and endless surprises. We must continue to improve our knowledge and understanding, while also improving our ability to manage the uncertainties resulting from the expanding horizon of our efforts. We must identify the critical goals and seek responses that are immune to surprise. 




broker

CME ClearPort API Entity Reference Data Changes for Brokers

Please be advised that effective Sunday, August 25, 2013 (for the August 26th business date) there will be changes to CME ClearPort API Entity Reference Data that will impact Party Detail List Reports and Party Entitlement Reports for CME ClearPort API Brokers and CME ClearPort API Platforms who request Entity Reference Data on behalf of Brokers.

These changes will be available for testing in the New Release environment on August 14th.

Changes to Existing Reponses

When a Broker (or Platform on behalf of Broker) submits a request for all related accounts using the Party Details List Request message or a request for all related accounts which trade a particular product using the Party Entitlement Request message, the following information is provided for each account in Related Party Detail blocks:  The Clearing ID of the Account’s Clearing Firm (Party Role 1), the Trading Firm / Account Owner’s firm identifier (Party Role 7),  and the Broker Firm’s firm identifier (Party Role 30).

Going forward, when the same requests are submitted, an additional Related Party Detail block will appear on the response if there is an Asset Manager Firm assigned to the account:  the Asset Manager Firm’s identifier (Party Role 49).

In the following examples, ACCT1 has been assigned an Asset Manager by the Clearing Firm, while ACCT2 has not.

<FIXML v="5.0 SP2" xv="109" s="20090815" cv="CME.0001">

<PtyDetlListRpt ReqID="123437" RptID="1376864472358" ReqRslt="0" Txt="Valid request">

<Hdr SID="CME" SSub="CPAPI" TID="PLTFM" TSub="username"/>

<PtyDetl ID="ACCT1" Src="C" R="24">

<AltPty ID="A-12345" Src="H"/>

<ReltdPtyDetl ID="123" Src="C" R="1">

<Rltnshp Rltnshp="2"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="trading_firm1" Src="C" R="7">

<Rltnshp Rltnshp="36"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="broker_firm1" Src="C" R="30">

<Rltnshp Rltnshp="22"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="asset_mgr_firm1" Src="C" R="49">

<Rltnshp Rltnshp="32"/>

</ReltdPtyDetl>

</PtyDetl>

<PtyDetl ID="ACCT2" Src="C" R="24">

<AltPty ID="A-67890" Src="H"/>

<ReltdPtyDetl ID="456" Src="C" R="1">

<Rltnshp Rltnshp="2"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="trading_firm2" Src="C" R="7">

<Rltnshp Rltnshp="36"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="broker_firm1" Src="C" R="30">

 

 

<Rltnshp Rltnshp="22"/>

</ReltdPtyDetl>

</PtyDetl>

</PtyDetlListRpt>

</FIXML>

 

<FIXML v="5.0 SP2" xv="109" s="20090815" cv="CME.0001">

<PtyEntlmntRpt ReqID="123412" RptID="1376865078371" ReqRslt="0" Txt="Valid request">

<Hdr SID="CME" SSub="CPAPI" TID="PLTFM" TSub="username"/>

<PtyEntlmnt>

<PtyDetl ID="ACCT1" Src="C" R="24">

<AltPty ID="A-12345" Src="H"/>

<ReltdPtyDetl ID="broker_firm1" Src="C" R="30">

<Rltnshp Rltnshp="22"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="trading_firm1" Src="C" R="7">

<Rltnshp Rltnshp="36"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="asset_mgr_firm1" Src="C" R="49">

<Rltnshp Rltnshp="32"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="123" Src="C" R="1">

<Rltnshp Rltnshp="2"/>

</ReltdPtyDetl>

</PtyDetl>

<PtyDetl ID="ACCT2" Src="C" R="24">

<AltPty ID="A-67890" Src="H"/>

<ReltdPtyDetl ID="broker_firm1" Src="C" R="30">

<Rltnshp Rltnshp="22"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="trading_firm2" Src="C" R="7">

<Rltnshp Rltnshp="36"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="456" Src="C" R="1">

<Rltnshp Rltnshp="2"/>

</ReltdPtyDetl>

</PtyDetl>

<Entlmnt Typ="0" Ind="Y">

<InstrmtScope Oper="1" ID="NN" Src="H" SecTyp="FUT"

 

Exch="NYMEX"/>

 

 

</Entlmnt>

 

</PtyEntlmnt>

</PtyEntlmntRpt>

 

</FIXML>

 

NEW- Broker Requests Asset Manager Users at an Asset Manager Firm

In a previous CME ClearPort API release a change was made to allow Brokers (or Platforms on behalf of Brokers) to specify asset manager users in party role 36 (instead of a trader at the account owner firm) to satisfy the trader individual requirements for applicable market types like energy and metals.  Now Brokers can use ClearPort API reference data to obtain a list of asset manager users for their related accounts.  Once the above responses are received, the Broker or Platform can use each related Asset

Manager Firm (Party Role 49) to request a list of users at the firm:

 

Request

<FIXML v="5.0 SP2" xv="109" s="20090815" cv="CME.0001">

<PtyDetlListReq ReqID="123437">

<Hdr SID="PLTFM" SSub="username" TID="CME" TSub="CPAPI"/>

<ReqPty ID="broker_firm1" R="30"/>

<Pty ID="asset_mgr_firm1" R="49"/>

<ReqR R="36"/>

</PtyDetlListReq>

</FIXML>

 

 

 

 

Response

 

<FIXML v="5.0 SP2" xv="109" s="20090815" cv="CME.0001">

<PtyDetlListRpt ReqID="123437" RptID="1376866782295" ReqRslt="0" Txt="Valid request">

<Hdr SID="CME" SSub="CPAPI" TID="PLTFM" TSub="username"/>

<PtyDetl ID="asset_mgr_user1" Src="C" R="36">

<Sub ID="First Last" Typ="9"/>

<ReltdPtyDetl ID="asset_mgr_firm1" Src="C" R="49">

<Sub ID="Company Name" Typ="5"/>

<Rltnshp Rltnshp="6"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="CMD" Src="C" R="22">

<Rltnshp Rltnshp="12"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="CME" Src="C" R="22">

<Rltnshp Rltnshp="12"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="DME" Src="C" R="22">

<Rltnshp Rltnshp="12"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="NYMEX" Src="C" R="22">

<Rltnshp Rltnshp="12"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="COMEX" Src="C" R="22">

<Rltnshp Rltnshp="12"/>

</ReltdPtyDetl>

<ReltdPtyDetl ID="CBT" Src="C" R="22">

<Rltnshp Rltnshp="12"/>

</ReltdPtyDetl>

</PtyDetl>

</PtyDetlListRpt>

</FIXML>

 

For more detailed information regarding entity reference data retrieval through CME ClearPort API, please see the CME ClearPort API Reference Data Guide:

http://www.cmegroup.com/clearing/files/Clearport_Reference_Data_API_FIXML_Message_Specification_

and_Samples.pdf

 

If you have questions or need help facilitating your tests in the New Release environment, please contact:

 

Market Operations Technical Support

24 Hour 6 Days a Week Support available from Sundays at 5PM ET to Fridays at 5PM ET

Phone: 800-275-6215 / 212-301-4720

Email:  thirdpartyservices@cmegroup.com




broker

Fin24.com | MONEY CLINIC: Can we invest our retirement annuity without a broker, and negotiate fees charged?

A Fin24 reader looking to invest in a living annuity, was shocked to find that she would have to pay fees of up to R110 000 per annum. She wants to know if there are other options. An investment expert responds.




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Fin24.com | Must-have: the right stockbroker

Stockbrokers come in two forms: human and online. And costs, advice and information available to investors differ widely.





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Insurance Broker Bulletin

...




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The future of labour brokers in the face of the labour relations amendment act

The labour broker industry faces great pressure to comply with the changes to the Labour Relations Act 66 of 1995, as amended, (“LRA”) read with amendments giving effect to the ‘equal pay for work of equal value’ principle in...




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Hoping for a turnaround, realty brokers bet big on Narendra Modi government

NEW DELHI: Since the election results were announced last week — handing out a clear mandate to the Narendra Modi-led BJP — real estate brokers across the country have been prodding buyers to book their dream homes fast, since with a stable government on the cards, builders could increase prices any time soon. Business for thousands of brokers has been thin over the last year or so as negative sentiment engulfed the market and home sales tanked. Investors fled and genuine home buyers waited anxiously to see if a new stable government can infuse life into the economy. “It might just be a case of brokers trying to perk up […]




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Securities group asks SEC to intervene for brokers in audit-trail database fight

U.S. brokers should not be forced to sign an agreement that could make them liable for breaches of a massive new industry trading database that they have no control over, a leading financial industry...




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Optimism can avert climate disaster, say duo who brokered Paris deal

Christiana Figueres and Tom Rivett-Carnac led the 2015 Paris climate negotiations. They tell us why they’re hopeful for the future, and explain how fighting climate change is “the most exciting experiment in history”




broker

Smart questions to ask your broker before let him sell your property

Normally, you put your property on the market but the estate agent is the one who actually sells it to buyers. It is a critical decision to choose the right agent and protect you from any future trouble. The questions below may help you.




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Resident of India Pleads Guilty in International Online Brokerage “Hack, Pump and Dump” Scheme

Jaisankar Marimuthu, a native of Chennai, India, pleaded guilty to one count of conspiracy to commit wire fraud, securities fraud, computer fraud and aggravated identity theft, and to one count of aggravated identity theft.



  • OPA Press Releases

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Indian National Sentenced to 81 Months in Prison for Role in International Online Brokerage “Hack, Pump and Dump” Scheme

An Indian national was sentenced today to 81 months in prison on conspiracy and aggravated identity theft charges arising from an international fraud scheme to "hack" into online brokerage accounts in the United States and use those accounts to manipulate stock prices.



  • OPA Press Releases

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Two Securities Broker-Dealers Indicted for Securities Fraud Scheme in Texas

Two securities broker-dealers were charged in an indictment unsealed today for their alleged roles in a securities fraud scheme involving several publicly traded companies.



  • OPA Press Releases

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Securities Attorney and Former Stock Broker Each Sentenced to More Than 12 Years in Prison for $43 Million Pump-and-Dump Stock Manipulation Scheme

A securities attorney and a former stock broker were sentenced today to 188 months and 151 months in prison, respectively, for their roles in an extensive pump-and-dump stock manipulation scheme.



  • OPA Press Releases

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Illinois Commercial Print Broker Pleads Guilty to Making False Statement to the Government Printing Office

An Illinois commercial print broker pleaded guilty today to making false statements in a bid submitted to the U.S. Government Printing Office (GPO).



  • OPA Press Releases

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New York Broker Indicted for Alleged Role in International Stock Fraud Scheme

An indictment unsealed today in Detroit charges stock broker Gregg M. Berger of New York for his role in a wide-ranging fraud scheme to illegally pump-and-dump thinly-traded Chinese and Israeli stocks.



  • OPA Press Releases

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New York Broker Pleads Guilty in International Stock Fraud Scheme

A New York stock broker has pleaded guilty in federal court in Detroit to conspiracy to commit securities fraud and wire fraud in connection with the Alan Ralsky spamming organization’s stock pump-and-dump scheme/



  • OPA Press Releases

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Jenkens & Gilchrist Attorneys, Former BDO Seidman CEO and Deutsche Bank Broker Found Guilty in New York of Multi-Billion Dollar Criminal Tax Fraud Scheme

Paul M. Daugerdas, Donna M. Guerin, Denis M. Field and David Parse were convicted today in Manhattan federal court for their roles in a tax shelter scheme in which they designed, marketed and implemented fraudulent tax shelters used by wealthy individuals to avoid paying taxes to the Internal Revenue Service.



  • OPA Press Releases

broker

New York Stock Broker Sentenced to Prison in International Stock Fraud Scheme

A New York stock broker was sentenced today to 24 months in prison for his role in a wide-ranging international stock fraud scheme involving the illegal use of bulk commercial emails, or “spamming,” to promote thinly-traded Chinese penny stocks.



  • OPA Press Releases

broker

Principal of Offshore Brokerage Firm and Las Vegas Stock Promoter Convicted in Miami for $7 Million Stock Manipulation Scam

Jonathan Curshen, 47, the principal of Red Sea Management and Sentry Global Securities, two companies located in San Jose, Costa Rica, that provided offshore accounts and facilitated trading in penny stocks, was found guilty of conspiracy to commit securities fraud, wire fraud and mail fraud; two counts of mail fraud; and conspiracy to commit international money laundering.



  • OPA Press Releases

broker

Las Vegas Real Estate Agent and Mortgage Broker Convicted for Their Roles in Mortgage Fraud Scheme

After a seven-day trial, a federal jury in Las Vegas found Jeannie Sutherland and Kelly Nunes guilty of one count of bank fraud and one count of conspiracy to commit wire and bank fraud.



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broker

Principal of Offshore Brokerage Firm Sentenced in Miami to 20 Years in Prison for $7 Million Stock Manipulation Scam

Jonathan Curshen, 47, the principal of Red Sea Management and Sentry Global Securities, was sentenced by U.S. District Judge Richard W. Goldberg.



  • OPA Press Releases

broker

CEO of Axius Inc. and Finance Professional Indicted for Alleged Roles in Scheme to Bribe Stock Brokers and Manipulate Stock Prices

The chief executive officer (CEO) of Axius Inc., a Nevada corporation, and a finance professional were indicted today on multiple charges for their alleged roles in a scheme to bribe stock brokers and manipulate the share price of Axius stock.



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