标签:
我记录财富人生 |
Risk Management
(c) Ed Seykota, 2003
Risk
RISK is the possibility of loss. That is, if we own some stock, and there is a possibility of a price decline, we are at risk. The stock is not the risk, nor is the loss the risk. The possibility of loss is the risk. As long as we own the stock, we are at risk. The only way to control the risk is to buy or sell stock. In the matter of owning stocks, and aiming for profit, risk is fundamentally unavoidable and the best we can do is to manage the risk.
Risk Management
To manage is to direct and control. Risk management is to direct and control the possibility of loss. The activities of a risk manager are to measure risk and to increase and decrease risk by buying and selling stock.
The Coin Toss Example
Let's say we have a coin that we can toss and that it comes up heads or tails with equal probability. The Coin Toss Example helps to present the concepts of risk management .
The PROBABILITY of an event is the likelihood of that event, expressing as the ratio of the number of actual occurrences to the number of possible occurrences. So if the coin comes up heads, 50 times out of 100, then the probability of heads is 50%. Notice that a probability has to be between zero (0.0 = 0% = impossible) and one (1.0 = 100% = certain).
Let's say the rules for the game are: (1) we start with $1,000, (2) we always bet that heads come up, (3) we can bet any amount that we have left, (4) if tails comes up, we lose our bet, (5) if heads comes up, we do not lose our bet; instead, we win twice as much as we bet, and (6) the coin is fair and so the probability of heads is 50%. This game is similar to some trading methods.
In this case, our LUCK equals the probability of winning, or 50%; we will be lucky 50% of the time. Our PAYOFF equals 2:1 since we win 2 for every 1 we bet. Our RISK is the amount of money we wager, and therefore place at risk, on the next toss. In this example, our luck and our payoff stay constant, and only our bet may change.
In more complicated games, such as actual
stock trading, luck and payoff may change with changing market
conditions.
We might also model more complicated games with a matrix of lucks and payoffs, to see a range of possible outcomes. See figure 1.
Luck
10%
20%
30%
20%
10%
10%
$10
1%
Start
Heads
Tails
Heads
Tails
Heads
Tails
Heads
Tails
Heads
Tails/font>
Notice that both systems make $20.00 (twice the bet) on the first
toss, that comes up heads. On the second toss, the fixed bet system
loses $10.00 while the fixed-fraction system loses 1% of $1,020.00
or $10.20, leaving $1,009.80.
Note that the results from both these systems are approximately
identical. Over time, however, the fixed-fraction system grows
exponentially and surpasses the fixed-bet system that grows
linearly. Also note that the results depend on the numbers of heads
and tails and do not at all depend on the order of heads and tails.
The reader may prove this result by spreadsheet simulation.
% Bet
0
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
At a 0% bet there is no change in the equity. At five percent bet
size, we bet 5% of $1,000.00 or $50.00 and make twice that on the
first toss (heads) so we have and expected value of $1,100, shown
in gray. Then our second bet is 5% of $1,100.00 or $55.00, which we
lose, so we then have $1,045.00. Note that we do the best at a 25%
bet size, shown in red.
Notice that the expected value of the system rises from $1000.00
with increasing bet fraction to a maximum value of about $1,800 at
a 25% bet fraction. Thereafter, with increasing bet fraction, the
profitability declines. This curve expresses two fundamental
principles of risk management: (1) The Timid Trader Rule: if you
don't bet very much, you don't make very much, and (2) The Bold
Trader Rule: If you bet too much, you go broke. In portfolios that
maintain multiple positions and multiple bets, we refer to the
total risk as the portfolio heat.
Note: Note the chart illustrates the Expected Value / Bet Fraction
relationship for a 2:1 payoff game. For a graph of this
relationship at varying payoffs, see Figure 8.
The Kelly Formula
K = W - (1-W)/R

加载中…