作者stasis (流雨风雪)
看板Trading
标题Re: [心得] 利用Multicharts做多市场分散01
时间Wed Jul 3 19:11:53 2013
: 推 sesee:估计在多长的交易时间内破某个特定的DD%的机率~ 个人认为是 07/03 16:46
: → sesee:没什麽意义的~ 因为会造成MDD创高的行情何时来根本无法预测 07/03 16:51
: → sesee:如果是权益数mdd%一直破当然是有很大的关系 赶快缩部位做呗 07/03 17:06
: → sesee:单一策略一直破mdd 如果是赔它该赔的钱 继续用它~why not? 07/03 17:07
Ed seykota的说法也差不多 参考一下
http://www.seykota.com/tribe/risk/
Measuring Portfolio Volatility
Sharpe, VaR, Lake Ratio and Stress Testing
From the standpoint of the diversified portfolio, the individual components
merge and become part of the overall performance. Portfolio managers rely on
measurement systems to determine the performance of the aggregate fund, such
as the Sharpe Ratio, VaR, Lake Ratio and Stress Testing.
William Sharpe, in 1966, creates his "reward-to-variability ratio." Over time
it comes to be known as the "Sharpe Ratio." The Sharpe Ratio, S, provides a
way to compare instruments with different performances and different
volatilities, by adjusting the performances for volatilities.
S = mean(d)/standard_deviation(d) ... the Sharpe Ratio, where
d = Rf - Rb ... the differential return, and where
Rf - return from the fund
Rb - return from a benchmark
Various variations of the Sharpe Ratio appear over time. One variation leaves
out the benchmark term, or sets it to zero. Another, basically the square of
the Sharpe Ratio, includes the variance of the returns, rather than the
standard deviation. One of the considerations about using the Sharpe ratio is
that it does not distinguish between up-side and down-side volatility, so
high-leverage / high-performance systems that seek high upside-volatility do
not appear favorably.
VaR, or Value-at-Risk is another currently popular way to determine portfolio
risk. Typically, it measures the highest percentage draw down, that is
expected to occur over a given time period, with 95% chance. The drawbacks to
relying on VaR are that (1) historical computations can produce only rough
approximations of forward volatility and (2) there is still a 5% chance that
the percentage draw down will still exceed the expectation. Since the most
severe draw down problems (loss of confidence by investors and managers)
occur during these "outlier" events, VaR does not really address or even
predict the very scenarios it purports to remedy.
A rule-of-thumb way to view high volatility accounts, by this author, is the
Lake Ratio. If we display performance as a graph over time, with peaks and
valleys, we can visualize rain falling on a mountain range, filling in all
the valleys. This produces a series of lakes between peaks. In case the
portfolio is not at an all-time high, we also erect a dam back up to the all
time high, at the far right to collect all the water from the previous high
point in a final, artificial lake. The total volume of water represents the
integral product of drawdown magnitude and drawdown duration.
If we divide the total volume of water by the volume of the earth below it,
we have the Lake Ratio. The rate of return divided by the Lake Ratio, gives
another measure of volatility-normal return. Savings accounts and other
instruments that do not present draw downs do not collect lakes so their
Lake-adjusted returns can be infinite.
==
个人是建议直接考虑极端状况下能承受的最大杠杆就好
(以台指为例 就是两或三根停板出现时 你愿意赔几趴)
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◆ From: 111.185.68.232
※ 编辑: stasis 来自: 111.185.68.232 (07/03 19:12)
1F:推 are2:这篇很不错 推推 很多东西到现在还是一直沿用的 07/03 19:24
2F:→ are2:不过黄色的部分写的并不太对 VaR跟拉回是无法任何关系的 07/03 19:26
3F:→ are2:VaR观察一个月後的当下 拉回可能是一个月中间有拉破就GG 07/03 19:26
4F:→ cybermohrg:而且VaR也没办法描述六标准差事件出来系统会死多惨 XD 07/03 20:46
5F:推 sesee:板大~ 我跟你想法一样 目前也是用两三根停板当最大部位参考 07/04 09:04
6F:→ stasis:VaR是特定期间突破MDD%的机率吧 07/04 09:29
7F:推 are2:楼上说的不对耶? 07/04 09:56
8F:推 are2:VaR是特定时间在一定的机率下绩效会低於多少 应该是相反 07/04 10:26
9F:→ are2:的解释了 07/04 10:26
10F:→ are2:并非特定期间破MDD% 他只看一个时间点 而非期间 07/04 10:27
11F:→ are2:而且他的output不是机率 而是亏损 input才是机率 07/04 10:28
12F:推 sesee:另外想请教一下 关於Lake Ratio还有哪些参考资料可看吗? 07/04 10:30
13F:→ stasis:可能定义不一样 我是根据Seytoka的说法 07/04 17:55
14F:推 are2:VaR是公开的标准了吧 差别在於估计的方法吧 07/04 18:52
15F:→ stasis:查了一下wiki 同意你的说法 07/05 08:56