Financial planning in the brain scanner slidecastRussell James
A presentation lecture regarding new fMRI findings on brain activations associated with changing financial advisors during an advisor-intermediated stock market game
Behavioral Finance for Financial PlannersRussell James
A review of several behavioral economics / behavioral finance concepts and examples of how to apply the dual-self economic model to advising clients in a financial planning context.
Financial planning in the brain scanner slidecastRussell James
A presentation lecture regarding new fMRI findings on brain activations associated with changing financial advisors during an advisor-intermediated stock market game
Behavioral Finance for Financial PlannersRussell James
A review of several behavioral economics / behavioral finance concepts and examples of how to apply the dual-self economic model to advising clients in a financial planning context.
Attention: The Title of This Talk is Being A/B TestedAdido
Chris Cherrett presented his keynote from Attention: The Digital Marketing Summit.
Usability and testing are explored so we can question why something works the way it does and create tests to find the answer.
Confirmation bias is the tendency to selectively search for information that confirms our beliefs; the idea being that if you think you already know, you won't test an issue or trend.
The end of the build is the start of the project, build, measure and learn about different and better ways of doing things.
Watch the keynote here: https://www.youtube.com/watch?v=gd5UhPMJ5XE
The good news is that you are NOW in the right place at the right time. The NEW AGE of business has arrived. We will share with you hype-free, realistic options to help you with integrity to finally create real wealth by helping others in the fastest growing industry today. This is not a get rich quick program but is definitely a system which others have worked and have been able to set themselves up for life within 2-4 years. It's beginning to work for me, my family, and my friends … it can work for yours too. It's really up to you! ...After the presentation just get back in touch and share your findings.
The good news is that you are NOW in the right place at the right time. The NEW AGE of business has arrived. We will share with you hype-free, realistic options to help you with integrity to finally create real wealth by helping others in the fastest growing industry today. This is not a get rich quick program but is definitely a system which others have worked and have been able to set themselves up for life within 2-4 years. It's beginning to work for me, my family, and my friends … it can work for yours too. It's really up to you! ...
Attention: The Title of This Talk is Being A/B TestedAdido
Chris Cherrett presented his keynote from Attention: The Digital Marketing Summit.
Usability and testing are explored so we can question why something works the way it does and create tests to find the answer.
Confirmation bias is the tendency to selectively search for information that confirms our beliefs; the idea being that if you think you already know, you won't test an issue or trend.
The end of the build is the start of the project, build, measure and learn about different and better ways of doing things.
Watch the keynote here: https://www.youtube.com/watch?v=gd5UhPMJ5XE
The good news is that you are NOW in the right place at the right time. The NEW AGE of business has arrived. We will share with you hype-free, realistic options to help you with integrity to finally create real wealth by helping others in the fastest growing industry today. This is not a get rich quick program but is definitely a system which others have worked and have been able to set themselves up for life within 2-4 years. It's beginning to work for me, my family, and my friends … it can work for yours too. It's really up to you! ...After the presentation just get back in touch and share your findings.
The good news is that you are NOW in the right place at the right time. The NEW AGE of business has arrived. We will share with you hype-free, realistic options to help you with integrity to finally create real wealth by helping others in the fastest growing industry today. This is not a get rich quick program but is definitely a system which others have worked and have been able to set themselves up for life within 2-4 years. It's beginning to work for me, my family, and my friends … it can work for yours too. It's really up to you! ...
Top 10 charitable planning strategies for financial advisors 2020Russell James
This presentation gives the top approaches to helping your clients and growing your practice using charitable planning with special tips related to the new tax law. Participants will learn how to provide tremendous benefit to clients, while improving their own assets under management, with charitable planning. Topics include gifts from retirement plans, gifts of appreciated assets, the use of private foundations, and life insurance.
The Statistics & Psychology of Baby Boomer Lifetime & Legacy GivingRussell James
In this irreverent and entertaining slide deck, Dr. James reviews nationally representative data on Baby Boomers and their lifetime and legacy donations. Beyond simple statistics, this session demonstrates how these demographic realities should change how and when you communicate fundraising information to Boomers. If you want a slide deck based on hard data that goes beyond "just so" stories with obligatory pictures of Woodstock, Vietnam, and Neil Armstrong - then this is the place for you!
Using "natural philanthropy" in fundraisingRussell James
Charitable giving is not a modern invention of the industrialized world. It is a natural behavior as old as humankind. In this presentation, Professor James reviews scientific research from a range of disciplines to uncover the natural origins of philanthropy and translates these scientific concepts into effective fundraising strategies. Be prepared to see how theory and science can produce powerful, practical, real-world fundraising success.
Top 10 legacy fundraising strategies from scientific research: National data ...Russell James
After fifteen years in academic research (plus more than a decade in frontline planned and major gifts fundraising), Professor James brings together scientific results from economics, neuroscience, psychology, demographics, and other disciplines to present the ten most important and effective strategies for increasing fundraising success in planned gifts. Beyond just “war stories,” this presentation gives you a deep understanding of what works – and why – in effective legacy fundraising.
Natural philanthropy: How the natural origins of donor motivations drive powe...Russell James
Charitable giving is not a modern invention of the industrialized world. It is a natural behavior as old as humankind. In this presentation, Professor James reviews scientific research from a range of disciplines to uncover the natural origins of philanthropy and translates these scientific concepts into effective fundraising strategies. Be prepared to see how theory and science can produce powerful, practical, real-world fundraising success.
Top 10 charitable planning strategies for financial advisors under the new ta...Russell James
This presentation gives the top approaches to helping your clients and growing your practice using charitable planning with special tips related to the new tax law. Participants will learn how to provide tremendous benefit to clients, while improving their own assets under management, with charitable planning. Topics include gifts from retirement plans, gifts of appreciated assets, the use of private foundations, and life insurance.
Why cash is not king in fundraising: Results from 1 million nonprofit tax ret...Russell James
This research tracks the fundraising growth of hundreds of thousands of nonprofit organizations from 2010 through 2016 to identify what predicts current and long-term fundraising growth. A key predictor is whether the nonprofit effectively pursues gifts of assets (e.g., stocks, bonds, real estate) rather than gifts of cash. This presentation reviews these comprehensive results, investigates the psychological and practical aspects of why gifts of assets are so critical for high-growth fundraising, and discusses strategies for effectively pursuing these important gifts.
The hidden code behind death-related financial decisions Russell James
Understanding the hidden code behind client decisions
in life insurance, annuities, estate planning, planned giving, end-of-life medical planning, and other death-related topics
If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
how to sell pi coins at high rate quickly.DOT TECH
Where can I sell my pi coins at a high rate.
Pi is not launched yet on any exchange. But one can easily sell his or her pi coins to investors who want to hold pi till mainnet launch.
This means crypto whales want to hold pi. And you can get a good rate for selling pi to them. I will leave the telegram contact of my personal pi vendor below.
A vendor is someone who buys from a miner and resell it to a holder or crypto whale.
Here is the telegram contact of my vendor:
@Pi_vendor_247
how to sell pi coins in South Korea profitably.DOT TECH
Yes. You can sell your pi network coins in South Korea or any other country, by finding a verified pi merchant
What is a verified pi merchant?
Since pi network is not launched yet on any exchange, the only way you can sell pi coins is by selling to a verified pi merchant, and this is because pi network is not launched yet on any exchange and no pre-sale or ico offerings Is done on pi.
Since there is no pre-sale, the only way exchanges can get pi is by buying from miners. So a pi merchant facilitates these transactions by acting as a bridge for both transactions.
How can i find a pi vendor/merchant?
Well for those who haven't traded with a pi merchant or who don't already have one. I will leave the telegram id of my personal pi merchant who i trade pi with.
Tele gram: @Pi_vendor_247
#pi #sell #nigeria #pinetwork #picoins #sellpi #Nigerian #tradepi #pinetworkcoins #sellmypi
when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
However, the developers are working hard to get them released as soon as possible.
Once they are available, users will be able to exchange other cryptocurrencies for Pi coins on designated exchanges.
But for now the only way to sell your pi coins is through verified pi vendor.
Here is the telegram contact of my personal pi vendor
@Pi_vendor_247
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
how to sell pi coins on Bitmart crypto exchangeDOT TECH
Yes. Pi network coins can be exchanged but not on bitmart exchange. Because pi network is still in the enclosed mainnet. The only way pioneers are able to trade pi coins is by reselling the pi coins to pi verified merchants.
A verified merchant is someone who buys pi network coins and resell it to exchanges looking forward to hold till mainnet launch.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
Abhay Bhutada Leads Poonawalla Fincorp To Record Low NPA And Unprecedented Gr...Vighnesh Shashtri
Under the leadership of Abhay Bhutada, Poonawalla Fincorp has achieved record-low Non-Performing Assets (NPA) and witnessed unprecedented growth. Bhutada's strategic vision and effective management have significantly enhanced the company's financial health, showcasing a robust performance in the financial sector. This achievement underscores the company's resilience and ability to thrive in a competitive market, setting a new benchmark for operational excellence in the industry.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
The Evolution of Non-Banking Financial Companies (NBFCs) in India: Challenges...beulahfernandes8
Role in Financial System
NBFCs are critical in bridging the financial inclusion gap.
They provide specialized financial services that cater to segments often neglected by traditional banks.
Economic Impact
NBFCs contribute significantly to India's GDP.
They support sectors like micro, small, and medium enterprises (MSMEs), housing finance, and personal loans.
3. “On a recent day in the basement of a
campus lab, Russell James is working
with a brain-scanning machine that
wouldn’t look out of place in a top-
notch hospital. James isn’t a mad
scientist…” -SmartMoney, February, 2012
=
5. Why use fMRI to study
financial decision‐making?
• Not all parts
of decision‐
making are
known to the
decision
maker
• Activation
reflects the
type of
cognitive
processes
(mathematic,
emotional,
visual, etc.)
19. If this keeps
going, I will be
totally red
from all of the
oxygen in my
● ● blood
20. The fMRI machine can see my color
change because blood with a lot of
oxygen (red) is less attracted to
magnets than blood without much
oxygen (blue).
● ●
● ●
21. The fMRI machine is measuring a BOLD
signal because the color is
lood B
Oxygen
Level
Dependent
● ● ● ● High blood oxygen
Low blood oxygen
● ●
● ●
22. We want to estimate the likelihood
that a voxel, or group of voxels, is
activated
37. Next you will play a stock market game.
The participant who accumulates the most
money in this game will be paid $250.00.
Instead of picking stocks, you will select
among four financial planning firms. These
advisors will invest in stocks for you based
on one of four strategies. You may change
firms at any time, as many times as you
like. There is no cost to change firms.
38. The four financial planning firms are
(A) The Able Firm, (B) The Baker Firm,
(C) The Clark Firm, and (D) The Davis Firm
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
39. The Able Firm follows a TRENDS strategy
immediately selling stocks that are falling
and buying stocks that are rising.
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
40. The Baker Firm follows a GROWTH
strategy buying stocks in companies that
are growing.
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
41. The Clark Firm follows a VALUE strategy
buying "cheap" stocks in companies with a
lot of assets but low stock price. All
advisors in the Clark firm are Certified
Financial Planners.
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
42. A CFP must have years of experience, a
college degree with investment
coursework, must pass a series of rigorous
exams and continually complete ongoing
education in investing.
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
43. The Davis Firm follows an INCOME
strategy buying stocks in companies that
pay high dividends (income). All advisors
in the Davis firm are Certified Financial
Planners.
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
44. After each round you will see your
percentage return (gain or loss) for that
round and the overall market return for that
round.
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
45. You may change advisors at any point by
clicking on the relevant button: left
button/left hand for Able; right button/left
hand for Baker; left button/right hand for
Clark; right button/right hand for Davis.
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
46. Choose your initial advisor now. You may
change at any point by pressing the
appropriate button.
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
47. Some subjects instead saw these images at
the bottom. (Alternating business casual
and more formal attire.)
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
48. This round the market was up 1.5%
Your investments were up 4.8%
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
49. (6 rounds of these market return presentations)
This round the market was up X.X%
Your investments were up X.X%
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
50. After 6 rounds, a break with these
instructions above the advisor images:
You may change your advisor at any point
by clicking the relevant button. The market
will begin again in a moment.
Able Baker Clark, CFP Davis, CFP
TRENDS GROWTH VALUE INCOME
51. After 6 sets of 6 rounds each, introduced to
a new set of financial advisors
Adams, CFP Brown, CFP Cook Dale
TRENDS GROWTH VALUE INCOME
-or-
Adams, CFP Brown, CFP Cook Dale
TRENDS GROWTH VALUE INCOME
52. Played 6 more sets of 6 rounds for a total of
72 rounds of the stock market game
Adams, CFP Brown, CFP Cook Dale
TRENDS GROWTH VALUE INCOME
53. The game was rigged. Each round in a set had
similar returns. Sets progressed in this order.
Flat market (.5% to 3%) outperform by 1-5%
for six rounds then short break
Flat market (.5% to 3%) underperform by 1-5%
for six rounds then short break
Rising market (10% to 20%) outperform by 1-5%
for six rounds then short break
Rising market (10% to 20%) underperform by 1-5%
for six rounds then short break
Falling market (-10% to -20%) underperform by 1-5%
for six rounds then short break
Falling market (-10% to -20%) outperform by 1-5%
for six rounds then end
Note: The winner was selected based upon adherence to pre-determined preferable strategies for different market conditions
54. After introduction to the second set of advisors,
another 6 sets of 6 rounds with these results.
Rising market (10% to 20%) underperform by 1-5%
for six rounds then short break
Rising market (10% to 20%) outperform by 1-5%
for six rounds then short break
Falling market (-10% to -20%) underperform by 1-5%
for six rounds then short break
Falling market (-10% to -20%) outperform by 1-5%
for six rounds then short break
Flat market (.5% to 3%) underperform by 1-5%
for six rounds then short break
Flat market (.5% to 3%) outperform by 1-5%
for six rounds then end
62. Dorsal Anterior Cingulate/Medial Frontal Cortex
• Implicated in previous studies in error detection
• Rushworth, Buckley, Behrens, Walton, & Bannerman (2007 )
• Including observing errors made by others
• Kang, Hirsh, & Chasteen (2010); Newman‐Norlund, Ganesh, van Schie, De Bruijn &
Bekkering (2009) de Bruijn, de Lange, von Cramon, & Ullsperger (2009)
• May be limited to detecting loss related errors
• Magno, Foxe, Molholm, Robertson, and Garavan (2006)
63. Dorsal Anterior Cingulate
/Medial Frontal Cortex
• Implicated in previous
studies in error detection
• Rushworth, Buckley, Behrens, Walton, &
Bannerman (2007 )
• Including observing errors
made by others
• Kang, Hirsh, & Chasteen (2010); Newman‐
Norlund, Ganesh, van Schie, De Bruijn &
Bekkering (2009) de Bruijn, de Lange, von
Cramon, & Ullsperger (2009)
• May be limited to
detecting loss related
errors
• Magno, Foxe, Molholm, Robertson, and
Garavan (2006)
74. Switching was preceded by error detection and
number comparison
Loyalty (non‐switching) periods were associated with
focusing on the images of advisors
themselves
Error‐Detection
Math; Numbers;
Contingent
Outcomes
Number Comparisons
Visual;
People’s Faces
76. Loyalty periods
Focusing on
How do we people, not
encourage this numbers
and avoid that
Switching predictors
Identifying advisor
“errors” via
number
comparisons
77. Focusing on “We always provided quarterly and year‐to‐
date performance returns in our reviews.
people, not Everyone does. One day we asked ourselves
what message we were sending our clients by
numbers listing short‐term performance, when we are
constantly preaching the need for a portfolio
with a long‐term horizon. It really made no
sense, but of course peer pressure is mighty.
We argued over this point for months until
we took Nike’s advice to ‘Just Do It.” We did.
We waited for the barrage of calls,
questioning about the absence of short‐term
performance numbers. We received three
calls, all of them just asking if we had
forgotten a line in the review. When we
explained, they agreed it wasn’t necessary.
We took the same tack when we omitted the
page of index returns in our quarterly
reviews… Although we were perfectly willing
and prepared to discuss it with any clients
who asked, no one called.”
‐Prof. Deena Katz, Texas Tech University
86. The Near Miss
• The problem gambler “is not
constantly losing but constantly
nearly winning” Griffiths (1999, p. 442)
• Slot machine players interpret
“their” machine later paying out
to another player as a near miss
(O’Connor & Dickerson, 1997).
• Poker players are unlikely to play
for an extended period without
experiencing a near‐miss, and
such near misses are a major
reason for chasing losses (Browne,
1989).
• In electronic gaming machines,
“it is possible to see almost
every outcome as a near‐miss”
(Delfabbro and Winefield, 1999, p. 448).
87. The “gambler’s fallacy”
• “Gambler’s fallacy”: A purely
random event is more likely if it has
not recently occurred (Lambos & Delfabbro,
2007)
• Reid (1986) noted an inclination to
believe that success was
approaching due to “near‐miss”
experiences.
• “there was a noticeable tendency
to think of gaining information
from a near‐miss even when the
outcome could only be a matter of
chance” (Reid, 1986, 32‐33).
90. “All that matters is that
you come out on top in
the end—a loss here or
there will not matter in
terms of your overall
portfolio. In other words,
you win some and you
lose some”
(Sokol‐Hessner, et al., 2009, p. 3 supp.).
These instructions
resulted in
decreased physiological
anxiety in response to
experienced losses as measured
by skin conductance response (Sokol‐
and amygdala activation
Hessner, et al., 2009)
(Sokol‐Hessner, et al., 2012)
91. Dollar cost averaging as loss reframing
• A loss is a buying
opportunity to purchase
more shares when they
are “cheap” [a.k.a.
gambler’s fallacy]
• A loss is a buying
opportunity to
“bring down
average share cost”
[a.k.a. sunk cost fallacy]
92. Dollar cost averaging as loss reframing
• Even if the strategy is
statistically invalid in the
absence of security price
mean reversion (e.g., Knight & Mandell,
1993; Leggio & Lien, 2003; Brennan, Lee, & Torous,
it can produce better
2005)
investor behavior by
reinterpreting losses.
• Disabusing clients of
the statistical
fallacies may result in
less time in the
market and
consequently lower
long‐term returns.
93. Summary
• In an advisor‐intermediated stock
market game, periods of advisor
loyalty were neurally associated
with an increased focus on the
people and a decreased focus on
the numbers.
• Advisor switching was neurally
preceded by loss‐detection and
error‐detection via number
comparisons.
• Prospective loss reframing
produces neurologically different
responses to loss experiences and
may increase market participation
and advisor loyalty.
95. Related References
Andreassen, P. (1990). Judgmental extrapolation and market overreaction: On the use and disuse of news. Journal of Behavioral Decision Making, 3, 153‐174.
Bachrach, B. (1996). Values‐based selling: The art of building high‐trust relationships for financial advisors, insurance agents, and investment reps. San Diego, CA: Aim High Publishing.
Bae, S. C., & Sandager, J. P. (1997). What consumers look for in financial planners. Financial Counseling and Planning, 8(2), 9‐16.
Barber, B. M., & Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. The Journal of Finance, 55(2), 773‐806.
Batty, M., Taylor, M. J. (2003). Early processing of the six basic facial emotional expressions, Cognitive Brain Research, 17(3), 613‐620.
Brennan, M. J., Li, F., & Torous, W. N. (2005). Dollar cost averaging. Review of Finance, 9(4), 509‐535.
Brown, D., & Brown, Z. E. (2008). The relationship between investor attachment style and financial advisor loyalty. Journal of Behavioral Finance, 9(4), 232‐239.
Browne, B. R. (1989). Going on tilt: Frequent poker players and control. Journal of Gambling Studies, 5(1), 3‐21.
Campbell‐Meiklejohn, D. K., Woolrich, M. W., Passingham, R. E., & Rogers, R. D. (2007). Knowing when to stop: The brain mechanisms of chasing losses. Biological Psychiatry, 63, 293‐300.
Carter, R. M., O'Doherty, J. P., Seymour, B., Koch, C. & Dolan, R. J. (2006). Contingency awareness in human aversive conditioning involves the middle frontal gyrus. NeuroImage, 29(3),1007‐1012.
Chang, M. L. (2005). With a little help from my friends (and my financial planner). Social Forces, 83(4), 1469‐1497.
Chochon, F., Cohen, L., van de Moortele, P. F., & Dehaene, S. (1999). Differential contributions of the left and right inferior parietal lobules to number processing. Journal of Cognitive Neuroscience, 11(6), 617‐630.
Christiansen, T. & DeVaney, S. A. (1998). Antecedents of trust and commitment in the financial planner‐client relationship. Financial Counseling and Planning, 9(2),1‐10.
Davis, (2007). Who’s sitting on your nest egg? Why you need a financial advisor and ten easy tests for finding the best one. New York: Bridgeway Books
Davis, N., Cannistraci, C. J., Baxter, P. R., Gatenby, J. C., Fuchs, L. S., Anderson, A. W., Gore, J. C. (2009). Aberrant functional activation in school age children at‐risk for mathematical disability: A functional imaging study of simple arithmetic skill.
Neuropsychologia, 47(12), 2470‐2479.
de Bruijn, E. R. A., de Lange, F. P. D., von Cramon, Y., & Ullsperger, M. (2009). When errors are rewarding. The Journal of Neuroscience, 29(39). 12183‐12186.
Dehaene, S., & Cohen, L. (1997). Cerebral Pathways for calculation: Double dissociation between rote verbal and quantitative knowledge of arithmetic. Cortex, 33, 210‐250.
Delfabbro, P. H., & Winefield, A. H. (1999). The danger of over‐explanation in psychological research: A reply to Griffiths. British Journal of Psychology, 90, 447‐450.
Dickerson, M. G., & Adcock, S. (1987). Mood, arousal and cognitions in persistent gambling: Preliminary investigations of a theoretical model. Journal of Gambling Behavior, 3(1), 3‐15.
Drozdeck, S. & Fisher, L. (2007). The savvy investor’s guide to selecting and evaluating your financial advisor. Spokane, Washington: Financial Forum Inc.
Dupont, P., Orban, G. A., de Bruyn, B., Verbruggen, A., & Mortelmans, L. (1994). Many areas in the human brain respond to visual motion. Journal of Neurophysiology, 72(3), 1420‐1424.
Elmerick, S. A., Montalto, C. P., & Fox, J. J. (2002). Use of financial planners by u.s. households. Financial Services Review, 11(3), 217‐231.
Griffiths, M. D. (1999). The psychology of a near‐miss (revisited): A comment on Delfabbro and Winefield. British Journal of Psychology, 90, 441‐445.
Grill‐Spector, K., Knouf, N., & Kanwisher, N. (2004). The fusiform face area subserves face perception, not generic within‐category identification. Nature Neuroscience, 7(5), 555‐ 562.
Grinblatt, M. & Keloharju, M. (2000). The investment behavior and performance of various investor types: A study of Finland’s unique data set. Journal of Financial Economics, 55(1), 43‐67.
James, R. N., III. (2012). Applying neuroscience to financial planning practice: A framework and review. Journal of Personal Finance, 10(2), 10‐65.
Jefferson, S. & Nicki, R. (2003). A new instrument to measure cognitive distortions in video lottery terminal users: the Informational Biases Scale (IBS), Journal of Gambling Studies, 20, 171‐80.
Joiner, T. A., Leveson, L., & Langfield‐Smith, K. (2002) Technical language, advice understandability, and perceptions of expertise and trustworthiness: The case of the financial planner. Australian Journal of Management, 27, 25‐43.
Joukhador, J., Blaszczynski, A.P., & MacCallum, F. (2004). Superstitious beliefs in gambling among problem and non‐problem gamblers: preliminary data. Journal of Gambling Studies, 20, 171‐80.
Kang, S. K., Hirsh, J. B., & Chasteen, A. L. (2010). Your mistakes are mine: Self‐other overlap predicts neural response to observed errors. Journal of Experimental Social Psychology, 46, 229‐232
Katz, D. (1999). On practice management for financial advisers, planners, and wealth managers. Princeton, NJ: Bloomberg Press.
Knight, J. R., & Mandell, L. (1993). Nobody gains from dollar cost averaging analytical, numerical and empirical results. Financial Services Review, 2(1), 51‐61.
Knops, A., Nuerk, H. C., Fimm, B., Vohn, R., & Willmes, K. (2006). A special role for numbers in working memory? An fMRI study. NeuroImage, 29(1), 1‐14.
Lacadie, C. M., Fulbright, R. K., Rajeevan, N., Constable, R. T., & Papademetris, X. (2008). More accurate Talairach coordinates for neuroimaging using non‐linear registration. NeuroImage, 42(2),717‐725.
Lambos, C., & Delfabbro, P. (2007). Numerical reasoning ability and irrational beliefs in problem gambling. International Gambling Studies, 7(2), 157‐171.
Lancaster, J. L., Rainey, L. H., Summerlin, J. L., Freitas, C. S., Fox, P. T., Evans, A. C., Toga, A. W., & Mazziotta, J. C. (1997). Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward‐transform
method. Human Brain Mapping, 5, 238‐242.
Lancaster, J. L., Woldorff, M. G., Parsons, L. M., Liotti, M., Freitas, C. S., Rainey, L., Kochunov, P. V., Nickerson, D., Mikiten, S. A., & Fox, P. T. (2000). Automated Talairach Atlas labels for functional brain mapping. Human Brain Mapping, 10, 120‐131.
Leggio, K. B. & Lien, D. (2003) An empirical examination of the effectiveness of dollar‐cost averaging using downside risk performance measures. Journal of Economics and Finance, 27(2), 211‐223.
Lesieur, H. R. (1984). The chase: Career of the compulsive gambler. Cambridge, MA: Schenkman Publishing.
Lesieur, H. R., & Rosenthal, R. J. (1991). Pathological gambling: A review of the literature (prepared for the American Psychiatric Association task force on DSM‐IV committee on disorders of impulse control not elsewhere classified). Journal of
Gambling Studies, 7(1), 5‐39.
Magno, E., Foxe, J. J., Molholm, S., Robertson, I. H., Garavan, H. (2006). The anterior cingulate and error avoidance. The Journal of Neuroscience, 26(18), 4769‐4773.
Mandell, L. & Klein, L. S. (2009). The impact of financial literacy education on subsequent financial behavior. Journal of Financial Counseling and Planning, 20(1), 15‐24.
Mattox, S. T., Valle‐Inclan, F., & Hackley, S. A. (2006). Psychophysiological evidence for impaired reward anticipation in Parkinson’s disease. Clinical Neurophysiology, 117, 2144–2153.
Mullen, D. J., Jr. (2009). The million‐dollar financial advisor: Powerful lessons and proven strategies from top producers. New York: AMACOM.
Newman‐Norlund, R. D., Ganesh, S., van Schie, H. T., De Bruijn, E. R. A., & Bekkering, H. (2009). Self‐identification and empathy modulate error‐related brain activity during the observation of penalty shots between friend and foe. Social Cognitive
and Affective Neuroscience, 4, 10‐22.
O’Connor, J. & Dickerson, M. (1997). Emotional and cognitive functioning in chasing gambling losses. In G. Coman, B., Evans, & R. Wootton, (Eds.) Responsible Gambling: A future winner. Proceedings of the 8th National Association for Gambling
Studies Conference (pp. 280‐285), Melbourne.
O’Connor, J., & Dickerson, M. (2003) Definition and measurement of chasing in off‐course betting and gaming machine play. Journal of Gambling Studies, 19(4), 359‐386.
Oehler, A., Heilmann, K., Läger, V., & Oberländer, M. (2003). Coexistence of disposition investors and momentum traders in stock markets: experimental evidence. Journal of International Financial Markets, Institutions and Money, 13(5), 503‐524
Orford, J., Morison, V., & Somers, M. (1996). Drinking and gambling: A comparison with implications for theories of addiction. Drug and Alcohol Review, 15, 47‐56.
Puce, A., Allison, T., Asgari, M., Gore, J. C., & McCarthy, G. (1996). Differential sensitivity of human visual cortex to faces, letter strings, and textures: A functional magnetic resonance imaging study. The Journal of Neuroscience, 16(16): 5205‐5215.
Reid, R. L. (1986). The psychology of the near miss. Journal of Gambling Behavior, 2(1), 32‐39.
Rushworth, M. F. S., Buckley, M. J., Behrens, T. E. J., Walton, M. E., & Bannerman, D. M. (2007). Functional organization of the medial frontal cortex. Current Opinion in Neurobiology, 17, 220‐227.
Sandrini, M., Rossini, P. M, & Miniussi, C. (2004). The differential involvement of inferior parietal lobule in number comparison: A rTMS study. Neuropsychologia, 42, 1902‐1909.
Schellinck, T. & Schrans, T. (1998). Nova Scotia Video Lottery players’ survey. Halifax, Nova Scotia: Nova Scotia Department of Health.
Sokol‐Hessner, P., Camerer, C. F., & Phelps, E. A. (2012). Emotion regulation reduces loss aversion and decreases amygdala responses to losses. Social Cognitive and Affective Neuroscience. Advance online publication. Doi:10.1093/scan/nss002
Sokol‐Hessner, P., Hus, M., Curley, N. G., Delgado, M. R., Camerer, C. F., & Phelps, E. A. (2009). Thinking like a trader selectively reduces individuals’ loss aversion. PNAS, 106(13), 5035‐5040.
Thaler, R. H., Tversky, A., Kahneman, D. & Schwartz, A. (1997) The effect of myopia and loss aversion on risk taking: An experimental test. The Quarterly Journal of Economics, 112(2), 647‐661.
Toneatto, T., Blitz‐Miller, T., Calderwood, K., Dragonetti, R., & Tsannos, A. (1997). Cognitive distortions in heavy gambling. Journal of Gambling Studies, 13, 253‐266.
Tykocinski, O., Israel, R., Pittman, T. S. (2004). Inaction inertia in the stock market. Journal of Applied Social Psychology, 34(6), 1559‐1816.
Vanni, S., Tanskanen, T., Seppä, M., Uutela, K, & Hari, R. (2001). Coinciding early activation of the human primary visual cortex and anteromedial cuneus. PNAS, 98(5), 2776‐2780.
Waymire, J. (2003). Who’s watching your money: The 17 Paladin principles for selecting a financial advisor. Hoboken, NJ: Wiley.
Wood, W. C., O'Hare, S. L., & Andrews, R. L. (1992). The stock market game: Classroom use and strategy. The Journal of Economic Education , 23(3), 236‐246.