1
00:00:00,080 --> 00:00:04,840
One and welcome everybody to 
another smart money circle 

2
00:00:04,840 --> 00:00:06,360
update. 
I'm Adam Sarhan. 

3
00:00:06,360 --> 00:00:10,640
With me today is Tom Samuelson, 
who's the CIO of Vineyard Global

4
00:00:10,640 --> 00:00:13,360
Advisors with over 500 million 
in a UN. 

5
00:00:13,360 --> 00:00:15,400
Tom, welcome to the show. 
Great. 

6
00:00:15,400 --> 00:00:18,400
Good to be with you, Adam. 
So Tom, we always like to begin.

7
00:00:18,400 --> 00:00:20,400
Can you tell us a little about 
your story and how you got to 

8
00:00:20,400 --> 00:00:23,110
where you are today, please? 
Sure. 

9
00:00:23,670 --> 00:00:26,950
I started in the energy 
industry, the oil and gas 

10
00:00:26,990 --> 00:00:30,870
business, and after earning a 
petroleum engineering degree at 

11
00:00:31,310 --> 00:00:34,230
University of Tulsa, I was 
assistant to vice President of 

12
00:00:34,230 --> 00:00:37,870
Finance at Helmick and Payne, 
which is a large contract 

13
00:00:38,070 --> 00:00:43,230
drilling company, and I met many
Wall Street analysts in that 

14
00:00:43,230 --> 00:00:48,350
position and then went to work. 
As an analyst in Chicago for 

15
00:00:48,350 --> 00:00:50,710
Duff and Phelps, where I became 
a partner of the firm. 

16
00:00:51,070 --> 00:00:54,590
I then went to O'Connor and 
Associates which is a large 

17
00:00:55,150 --> 00:00:59,430
options trading firm eventually 
bought by Swiss Bank and that 

18
00:00:59,430 --> 00:01:03,750
was partners money. 
So I ran a long short energy 

19
00:01:03,750 --> 00:01:06,710
book for them. 
I We used the number of creative

20
00:01:06,710 --> 00:01:10,630
options, strategies to manage 
risk, and I, I. 

21
00:01:11,220 --> 00:01:14,500
I became firmly indoctrinated in
risk management and the 

22
00:01:14,500 --> 00:01:19,140
different techniques to manage 
risk, and then went to Denver to

23
00:01:19,140 --> 00:01:23,420
run the energy mutual fund of 
Invesco Funds Group, took that 

24
00:01:23,420 --> 00:01:26,900
from bottom quartile whipper 
peer group to upper quartile. 

25
00:01:27,180 --> 00:01:29,940
When I managed that, I also 
managed the energy portion of 

26
00:01:29,940 --> 00:01:32,100
the University of Notre Dame's 
endowment. 

27
00:01:32,650 --> 00:01:35,970
And for the last 20-3 years 
though, I've branched off and 

28
00:01:35,970 --> 00:01:39,850
and looked at all sectors before
forming Vineyard Global 

29
00:01:39,850 --> 00:01:41,850
Advisors. 
I was Chief Investment Officer 

30
00:01:41,850 --> 00:01:45,610
of First Ally Satara, where we 
built out a series of risk 

31
00:01:45,610 --> 00:01:49,770
managed strategies. 
And much of that philosophy 

32
00:01:49,770 --> 00:01:52,530
continues today at Vineyard 
Global Advisors. 

33
00:01:53,280 --> 00:01:54,400
I love it. 
What a great story. 

34
00:01:54,400 --> 00:01:58,120
Duffin Phelps and you've got 
Invesco and you've branched off 

35
00:01:58,120 --> 00:01:59,720
on your own. 
You mentioned risk management, 

36
00:01:59,720 --> 00:02:02,240
which I'll get to a little bit 
later, which is a core theme of 

37
00:02:02,240 --> 00:02:04,120
the show. 
But before we get there, can you

38
00:02:04,120 --> 00:02:06,480
tell us a little about your 
investment strategy, please, and

39
00:02:06,480 --> 00:02:08,880
your philosophy? 
Right. 

40
00:02:08,880 --> 00:02:13,000
We believe in managing both the 
good times and bad and. 

41
00:02:13,470 --> 00:02:16,590
You know we we, we talked quite 
a bit about the math of 

42
00:02:16,590 --> 00:02:20,510
volatility and and you know an 
interesting story. 

43
00:02:20,510 --> 00:02:25,190
I I was playing tennis with a a 
group of guys earlier this month

44
00:02:25,270 --> 00:02:29,750
and and one was talking about 
his growth fund that's up over 

45
00:02:29,750 --> 00:02:34,070
40% year to date. 
And I said well, how'd you do 

46
00:02:34,070 --> 00:02:36,190
last year? 
He said well not not good. 

47
00:02:36,230 --> 00:02:40,510
I was down 65%. 
I said, what about the last two 

48
00:02:40,510 --> 00:02:41,070
years? 
He said. 

49
00:02:41,070 --> 00:02:44,000
Well. 
You know, down close to 80 and 

50
00:02:44,000 --> 00:02:46,680
another guy in the group said, 
well, all right, well you were 

51
00:02:46,680 --> 00:02:49,360
down 80 and now you're up a 
little over 40. 

52
00:02:49,360 --> 00:02:52,760
You made back half that loss and
and I said you might want to 

53
00:02:52,760 --> 00:02:56,360
check the math on that. 
Of course, when you're down 80%,

54
00:02:56,360 --> 00:03:01,120
you need to gain 400% to recoup 
that loss and get it get back to

55
00:03:01,120 --> 00:03:05,880
making money for your clients. 
And you know, in other words, it

56
00:03:05,880 --> 00:03:11,040
would take 4 1/2 years of 40% 
gains to recoup that loss. 

57
00:03:11,570 --> 00:03:15,130
Where most of our strategies 
were down mid to low single 

58
00:03:15,130 --> 00:03:18,890
digits last year after strong 
performance in 2021. 

59
00:03:19,250 --> 00:03:22,890
So they are either on the cusp 
of or back to making money for 

60
00:03:22,890 --> 00:03:26,090
clients. 
So that that philosophy of risk 

61
00:03:26,090 --> 00:03:29,970
management understanding the 
the, the math of volatility is, 

62
00:03:29,970 --> 00:03:32,690
is really important in in the 
way we manage money. 

63
00:03:33,940 --> 00:03:37,340
I love it, I call that. 
I'm on a separate note, this is 

64
00:03:37,340 --> 00:03:39,660
the first time we're speaking, 
but I call it negative math 

65
00:03:40,020 --> 00:03:43,060
where the market goes down to 
the stock goes down 10%, you 

66
00:03:43,060 --> 00:03:46,900
need 11% gain to get back to 
even if it goes down 50%, you 

67
00:03:46,900 --> 00:03:50,780
need 100% gain to get back to 
even and like you said down 8400

68
00:03:50,780 --> 00:03:52,140
and so on and so forth. 
Yeah. 

69
00:03:52,500 --> 00:03:54,580
It's exactly right. 
It's amazing how many people 

70
00:03:54,580 --> 00:03:58,260
don't don't realize that you're 
you're coming off a lower base 

71
00:03:58,260 --> 00:04:02,190
so the the percentages can be 
misleading 100%. 

72
00:04:02,190 --> 00:04:04,430
So we mentioned risk management.
Can you tell us a little about 

73
00:04:04,430 --> 00:04:07,190
how you handle risk and what 
mistakes you see people make 

74
00:04:07,190 --> 00:04:08,710
with respect to risk management,
please? 

75
00:04:09,790 --> 00:04:13,270
Sure. 
We we have a multilayer approach

76
00:04:13,350 --> 00:04:17,190
to risk management. 
We we have several macro models 

77
00:04:17,190 --> 00:04:22,430
that grade the market backdrop 
from in five phases from maximum

78
00:04:22,430 --> 00:04:25,270
bullish, bullish neutral bear, 
maximum Bear. 

79
00:04:25,510 --> 00:04:28,990
Last year we were we were in 
bear or maximum bear for. 

80
00:04:29,360 --> 00:04:32,440
You know the duration or most of
the duration of of that bear 

81
00:04:32,440 --> 00:04:37,200
market. 
So with that we will set equity 

82
00:04:37,240 --> 00:04:42,600
exposure that's appropriate to 
the market backdrop and there's 

83
00:04:42,600 --> 00:04:44,440
several layers of risk 
management. 

84
00:04:44,440 --> 00:04:48,920
One is the, I say the first line
of defense is diversification. 

85
00:04:48,920 --> 00:04:52,200
So you know we we run 
diversified portfolios. 

86
00:04:52,200 --> 00:04:56,480
We we focus on positions, 
individual position sizing. 

87
00:04:57,020 --> 00:05:00,260
And the second layer would be 
let's say the market start to 

88
00:05:00,260 --> 00:05:05,420
turn more volatile, more 
defensive, we may increase 

89
00:05:05,820 --> 00:05:09,700
exposure to the more defensive 
sectors, utilities, consumer 

90
00:05:09,700 --> 00:05:14,260
staples and it is the market 
turns more bullish. 

91
00:05:14,260 --> 00:05:17,300
Typically it's consumer 
discretionary and technology and

92
00:05:17,620 --> 00:05:20,500
and cyclicals like financials 
and energy that that would 

93
00:05:20,500 --> 00:05:23,140
outperform. 
So that that's those sector 

94
00:05:23,140 --> 00:05:26,290
weightings can help. 
And then the final piece is 

95
00:05:26,290 --> 00:05:31,850
raising cash and using a hedge, 
so an inverse fund that goes up 

96
00:05:31,890 --> 00:05:35,770
when the market goes down and 
the right percentage and because

97
00:05:35,770 --> 00:05:39,690
of that take our risk managed 
income strategy. 

98
00:05:39,690 --> 00:05:44,250
Russell 3000 enhanced dividend 
was off a half a percent last 

99
00:05:44,250 --> 00:05:50,050
year after being up 27% in 2021.
And even though it's it's lagged

100
00:05:50,050 --> 00:05:53,930
the market so far, it's now back
to making money again. 

101
00:05:54,630 --> 00:05:59,110
So it it's it's it's a multi 
layered approach that 

102
00:05:59,110 --> 00:06:02,950
incrementally increases 
defensiveness depending if the 

103
00:06:02,950 --> 00:06:06,750
market continues to deteriorate 
and I love that, that's actually

104
00:06:06,750 --> 00:06:08,270
really, really good. 
So you talk about 

105
00:06:08,270 --> 00:06:11,030
diversification, you spoke about
having different models that 

106
00:06:11,030 --> 00:06:13,430
rate the market. 
Is that a rating scale from like

107
00:06:13,430 --> 00:06:16,470
let's say 1 to 10 or one to 100 
or or how do you set that up? 

108
00:06:16,910 --> 00:06:19,870
It it, it is a. 
It's a quantitative scale. 

109
00:06:19,870 --> 00:06:23,270
But then we take those ranges 
and. 

110
00:06:23,670 --> 00:06:28,350
Convert them into a basic 
message on the market, be it one

111
00:06:28,350 --> 00:06:33,550
of those five phases and you 
know generally the when the 

112
00:06:33,550 --> 00:06:37,470
markets are neutral to maximum 
bullish, we don't see the big 

113
00:06:37,790 --> 00:06:41,830
kind of drawdowns. 
The the drawdowns of five to 10%

114
00:06:41,830 --> 00:06:45,430
are not overly concerning to us.
It's kind of like going from if 

115
00:06:45,430 --> 00:06:48,430
you're traveling from point A to
point B in a car, there's going 

116
00:06:48,430 --> 00:06:51,830
to be a certain amount of. 
You know motion sensation, it's 

117
00:06:51,830 --> 00:06:55,030
just the if there isn't, you're 
not getting to your destination.

118
00:06:55,390 --> 00:06:59,670
So it it's it's the big potholes
that that are going to derail 

119
00:06:59,670 --> 00:07:03,830
you and and cause you to never 
get to your end goal that we're 

120
00:07:03,830 --> 00:07:07,470
concerned about And those happen
and Bear and Max Bare faces. 

121
00:07:08,070 --> 00:07:10,630
No, I love that. 
So would you say your strategy 

122
00:07:10,630 --> 00:07:13,030
is more fundamental, more 
technical and more quantitative?

123
00:07:13,030 --> 00:07:15,870
Or how do you label it from a 
for people that want to follow 

124
00:07:15,870 --> 00:07:17,150
along and learn? 
More, it's a. 

125
00:07:17,190 --> 00:07:19,550
It's a blend of both. 
I'm a. 

126
00:07:19,990 --> 00:07:24,910
Chartered Financial Analyst, the
Chartered Market technician with

127
00:07:24,910 --> 00:07:28,590
the engineering degree I did. 
I'd say 85% of our approach is 

128
00:07:28,590 --> 00:07:33,750
quantitative, but there's still 
a a subjective element to it, an

129
00:07:33,750 --> 00:07:38,430
overlay if you will. 
We we score individual stocks on

130
00:07:38,430 --> 00:07:42,150
a bottom up approach and we 
grade them from zero to 100. 

131
00:07:42,150 --> 00:07:45,190
Eighties and above are are 
attractive in terms of their 

132
00:07:45,190 --> 00:07:48,230
growth and returns on capital 
relative to their valuation. 

133
00:07:48,870 --> 00:07:52,790
We have sector models that help 
us overweight and underweight 

134
00:07:53,510 --> 00:07:56,590
sectors and then we have a 
couple macro models that grade 

135
00:07:56,590 --> 00:07:59,670
the the entire you know 
investment backdrop. 

136
00:07:59,750 --> 00:08:06,590
So there there is a a subjective
overlay the for example the the 

137
00:08:06,590 --> 00:08:10,510
banking crisis that hit with 
Silicon Valley in the second 

138
00:08:10,510 --> 00:08:14,350
quarter in March, we we just 
knew that that was going to 

139
00:08:14,350 --> 00:08:18,320
weigh on financials and. 
And it will take time for the 

140
00:08:18,320 --> 00:08:21,400
trend following indicators in 
our sector model to pick up on 

141
00:08:21,400 --> 00:08:24,120
that. 
Same thing with, you know, oil 

142
00:08:24,120 --> 00:08:28,440
and gas was white hot last year,
but then oil began it's it's 

143
00:08:28,440 --> 00:08:33,320
plunge, it's it's down 40% from 
its peak back in the spring of 

144
00:08:33,320 --> 00:08:36,159
last year and natural gas is 
down 73%. 

145
00:08:36,520 --> 00:08:41,280
That decline in oil and gas is a
leading indicator for energy 

146
00:08:41,280 --> 00:08:44,030
stocks. 
And as we saw that declining, 

147
00:08:44,030 --> 00:08:46,950
eventually the trend following 
indicators will pick up on it. 

148
00:08:47,350 --> 00:08:52,790
But we moved slightly ahead of 
when our sector models did and 

149
00:08:53,070 --> 00:08:57,550
we also have a bias. 
So the quantitative approaches 

150
00:08:57,550 --> 00:09:01,990
is good but there can be certain
elements like a banking crisis 

151
00:09:02,310 --> 00:09:05,670
that aren't picked up on in a 
timely fashion. 

152
00:09:06,070 --> 00:09:10,070
So it's it's a blend of 
fundamental technical and and 

153
00:09:10,070 --> 00:09:14,080
quantitative disciplines. 
But no, I'm a big fan of both. 

154
00:09:14,080 --> 00:09:16,600
Also, I wrote a book called 
Psychological Analysis for 

155
00:09:16,600 --> 00:09:19,080
Investing, which is the third 
cornerstone, if you will, at the

156
00:09:19,080 --> 00:09:21,920
third leg of the pyramid. 
So I'm a big fan of I Smell what

157
00:09:21,920 --> 00:09:24,880
you're cooking and I love it. 
So let's shift gears a little 

158
00:09:24,880 --> 00:09:27,640
bit, Tom, and talk about some 
timeless lessons you've learned 

159
00:09:27,640 --> 00:09:29,960
along the way that you'd like to
share with the audience either 

160
00:09:29,960 --> 00:09:31,840
in the market or in life or 
both. 

161
00:09:32,800 --> 00:09:34,080
Right. 
There's there's there's been 

162
00:09:34,080 --> 00:09:39,320
several and you remember 
episodes over your career and I.

163
00:09:39,800 --> 00:09:41,960
I do what you know, I was 
listening to an interview of of 

164
00:09:42,440 --> 00:09:47,280
John Chambers, who was the CEO 
of Cisco during the Internet 

165
00:09:47,400 --> 00:09:50,760
boom. 
And so Cisco's kind of a poster 

166
00:09:50,760 --> 00:09:54,440
child of that era, just like 
NVIDIA is now of artificial 

167
00:09:54,440 --> 00:09:57,680
intelligence. 
And you know, John, John was 

168
00:09:57,680 --> 00:10:01,960
saying that the bulk of the 
revenues from that era came 

169
00:10:01,960 --> 00:10:06,640
through after the early days. 
And and he believed we were 

170
00:10:06,640 --> 00:10:09,280
still in the early days of 
artificial intelligence. 

171
00:10:09,770 --> 00:10:17,130
And I I think that's true, but 
for investors, remember Internet

172
00:10:17,130 --> 00:10:23,930
Cisco soared from 95 to 2000 and
only 10% of the revenues that 

173
00:10:23,930 --> 00:10:28,450
come through over that 15 year 
period that stretched to 2010. 

174
00:10:28,450 --> 00:10:32,850
So he's absolutely right. 
The 90% of the revenues came 

175
00:10:33,210 --> 00:10:37,040
after 2000. 
But all of the stock market 

176
00:10:37,040 --> 00:10:39,400
performance came in the first 
five years. 

177
00:10:39,400 --> 00:10:44,880
Cisco actually declined 75% from
2000 to 2010. 

178
00:10:45,160 --> 00:10:49,880
So one of the the tenants is is 
get in front of big trends but 

179
00:10:49,880 --> 00:10:54,560
pay attention to evaluations and
speculation and and bubbles and 

180
00:10:54,560 --> 00:10:58,960
when you get to 40 times sales 
you you are in a bubble. 

181
00:10:59,800 --> 00:11:02,040
It, it, it, it's all been said. 
Well, you never know. 

182
00:11:02,480 --> 00:11:06,000
Well, when you're at 40 times 
sales, that that should be 

183
00:11:06,000 --> 00:11:09,600
telling you you're at a bubble. 
And there can be enormous damage

184
00:11:09,600 --> 00:11:12,120
that comes from the implosion of
these bubbles. 

185
00:11:12,360 --> 00:11:17,240
Many cloud stocks for example 
dropped over 80% last year. 

186
00:11:18,560 --> 00:11:20,480
No that that's so smart. 
So you're saying that the 

187
00:11:20,480 --> 00:11:22,840
markets are forward-looking 
mechanism and it's going to 

188
00:11:22,840 --> 00:11:25,320
anticipate those earnings, 
remove the stocks going to move 

189
00:11:25,360 --> 00:11:28,640
up and then subsequently down 
before the revenue necessarily 

190
00:11:28,640 --> 00:11:31,720
kicks in, if it kicks in at all?
Exactly, right. 

191
00:11:31,720 --> 00:11:34,840
Stocks are a discounting 
mechanism and and if if 

192
00:11:34,920 --> 00:11:38,360
artificial intelligence, which 
which we're big fans of this has

193
00:11:38,360 --> 00:11:42,360
a 39% compound annual growth 
rate going out over the next 

194
00:11:42,360 --> 00:11:46,040
nine years, we're going to grow 
from 67 billion to 1.3 trillion.

195
00:11:46,320 --> 00:11:49,080
There's going to be a lot of 
beneficiaries of that. 

196
00:11:49,400 --> 00:11:53,680
But if it's anything like the 
Internet, a lot of that will be 

197
00:11:53,680 --> 00:11:56,880
discounted before the bulk of 
the revenues comes through. 

198
00:11:57,520 --> 00:12:01,210
You know, one other kind of. 
Fun story or story that I 

199
00:12:01,210 --> 00:12:07,330
remember over my career is is 
during that that Internet phase 

200
00:12:07,450 --> 00:12:11,530
of 2000 there was a there was an
old market technician. 

201
00:12:11,530 --> 00:12:16,730
He was he was old school. 
His name was Justin Namus and he

202
00:12:16,730 --> 00:12:22,050
was he was highly respected in 
investment circles and but he 

203
00:12:22,050 --> 00:12:26,570
did things in the old school way
he'd he'd literally chart by 

204
00:12:26,570 --> 00:12:31,420
hand, you know the indices and. 
Individual stocks. 

205
00:12:31,420 --> 00:12:33,620
And he felt that gave him the 
best feel. 

206
00:12:33,980 --> 00:12:35,740
And I remember him coming into 
the firm. 

207
00:12:35,740 --> 00:12:38,460
I was, I was working at the time
and he said, well it's over. 

208
00:12:38,900 --> 00:12:44,180
And this was the fall of 2000 
and there was a question from a 

209
00:12:44,180 --> 00:12:46,820
portfolio manager who said what 
do you mean we're we're at the 

210
00:12:46,820 --> 00:12:52,700
dawn of the Internet era And he 
said, I always remember his 

211
00:12:52,700 --> 00:12:54,500
quote. 
His quote was, well, that is an 

212
00:12:54,500 --> 00:12:56,770
intellectual. 
Argument. 

213
00:12:56,970 --> 00:13:01,170
I'm just telling you what the 
laws of or the the laws of 

214
00:13:01,170 --> 00:13:06,050
supply and demand are telling me
and a lot of good news is 

215
00:13:06,050 --> 00:13:09,090
discounted and there's these 
stocks are going to decline and 

216
00:13:09,090 --> 00:13:11,690
decline for a long time. 
There's a lot of pain coming. 

217
00:13:12,170 --> 00:13:16,490
So and he was absolutely right. 
And you know, it's just it's one

218
00:13:16,490 --> 00:13:20,890
of the lessons I've learned over
my career is is pay attention to

219
00:13:21,210 --> 00:13:23,850
valuations, pay attention to 
bubbles and also. 

220
00:13:24,340 --> 00:13:26,580
There's a there's a 
characteristic look, we're we're

221
00:13:26,580 --> 00:13:31,900
not there yet. 
I I think with the A I frenzy, 

222
00:13:31,900 --> 00:13:36,140
if you you go into a vertical 
phase like a F16 going straight 

223
00:13:36,140 --> 00:13:38,260
up, these stocks will go 
vertical. 

224
00:13:38,740 --> 00:13:42,420
You know that this often said 
that markets decline on 

225
00:13:42,420 --> 00:13:44,660
pessimism. 
They bottom on despair. 

226
00:13:45,180 --> 00:13:48,980
They they rise on optimism, but 
they peak into euphoria, and 

227
00:13:48,980 --> 00:13:51,980
we're not at euphoria yet. 
And there's a there's typically 

228
00:13:52,140 --> 00:13:55,140
a look of a bubble, and we will 
get to it. 

229
00:13:55,180 --> 00:13:58,220
Fear of missing out. 
Euphoria will drive many of 

230
00:13:58,220 --> 00:14:00,740
these stocks vertical. 
If it's anything like the 

231
00:14:00,740 --> 00:14:04,540
Internet craze, no, I love that.
And talk about some timeless 

232
00:14:04,540 --> 00:14:07,180
mistakes that you've learned 
along the way and or you've seen

233
00:14:07,180 --> 00:14:08,860
other people make. 
And how would you recommend 

234
00:14:08,860 --> 00:14:12,450
avoiding them? 
I think that that that's one of 

235
00:14:12,450 --> 00:14:14,370
them. 
One of the main ones is just pay

236
00:14:14,370 --> 00:14:18,330
attention to to risk. 
It can be really damaging if 

237
00:14:18,370 --> 00:14:22,930
it's we we manage a lot of money
for clients that are on the cusp

238
00:14:22,930 --> 00:14:26,090
of or into their retirement 
years and and once you start 

239
00:14:26,090 --> 00:14:30,290
withdrawing 3% or so a year from
your nest egg, it's going to 

240
00:14:30,290 --> 00:14:33,530
have an even lesser chance to 
recover from something like an 

241
00:14:33,570 --> 00:14:39,150
8080% loss, so. 
One of the lessons, markets now 

242
00:14:39,150 --> 00:14:41,910
move faster. 
So with the advent of 

243
00:14:41,950 --> 00:14:46,030
algorithmic trading and now we 
have activist central banks that

244
00:14:46,350 --> 00:14:50,550
that if we see a slow down 
they're they're much more 

245
00:14:50,550 --> 00:14:54,710
willing to to accommodate that 
with liquidity. 

246
00:14:54,990 --> 00:15:00,710
And we we saw this in, in 2019, 
you know Fed Chairman Powell 

247
00:15:00,710 --> 00:15:05,510
Blinkton and the the central 
markets move faster now. 

248
00:15:05,990 --> 00:15:10,390
So we've had to evolve some of 
our risk models to to adapt to 

249
00:15:10,390 --> 00:15:18,470
that and you know a willingness 
to to markets evolve and there's

250
00:15:18,470 --> 00:15:22,750
a need to tweak our models and 
refine our models to to evolve 

251
00:15:22,750 --> 00:15:24,350
with it. 
Got it. 

252
00:15:24,350 --> 00:15:27,150
No, that makes perfect sense. 
So make sure you evolve isn't if

253
00:15:27,150 --> 00:15:29,710
I hear you properly, don't be 
too rigid in your approach. 

254
00:15:29,710 --> 00:15:32,150
Make sure you're open and open 
minded and flexible and evolved 

255
00:15:32,150 --> 00:15:34,120
as well. 
So I love that. 

256
00:15:34,320 --> 00:15:35,440
Tom, let me ask you this 
question. 

257
00:15:35,440 --> 00:15:38,640
What's the best piece of advice 
you'd like to give your 30 year 

258
00:15:38,640 --> 00:15:40,480
old self or you'd like to share 
with the audience? 

259
00:15:42,640 --> 00:15:46,840
I would say identify the big 
trends, get in front of the big 

260
00:15:46,840 --> 00:15:50,400
trends, but be aware of 
valuation and be aware of 

261
00:15:50,400 --> 00:15:52,800
bubbles. 
Love it, love it. 

262
00:15:53,040 --> 00:15:55,320
Well, Tom, thank you so much as 
always for coming on the show. 

263
00:15:55,320 --> 00:15:56,800
This has been absolutely 
fantastic. 

264
00:15:56,960 --> 00:15:58,840
What is the best way for people 
to get in touch with you? 

265
00:16:00,210 --> 00:16:01,890
You can get in touch with us 
through our website 

266
00:16:01,890 --> 00:16:07,490
www.vineyardglobaladvisors.com 
and we'd love to hear from you. 

267
00:16:08,010 --> 00:16:09,890
And thank thanks very much, 
Adam. 

268
00:16:09,890 --> 00:16:12,090
Enjoyed the show, beautify, 
enjoyed having you on. 

269
00:16:12,090 --> 00:16:13,170
Hopefully we'll see you again 
soon. 

270
00:16:13,450 --> 00:16:13,850
Thanks, Tom.
