Re: [心得] 利用Multicharts做多市場分散01

看板Trading (金融交易)作者 (流雨風雪)時間12年前 (2013/07/03 19:11), 編輯推噓6(609)
留言15則, 4人參與, 最新討論串2/2 (看更多)
: 推 sesee:估計在多長的交易時間內破某個特定的DD%的機率~ 個人認為是 07/03 16:46 : → sesee:沒什麼意義的~ 因為會造成MDD創高的行情何時來根本無法預測 07/03 16:51 : → sesee:如果是權益數mdd%一直破當然是有很大的關係 趕快縮部位做唄 07/03 17:06 : → sesee:單一策略一直破mdd 如果是賠它該賠的錢 繼續用它~why not? 07/03 17:07 Ed seykota的說法也差不多 參考一下 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. == 個人是建議直接考慮極端狀況下能承受的最大槓桿就好 (以台指為例 就是兩或三根停板出現時 你願意賠幾趴) -- FB: http://0rz.tw/l3Kcq █◣ \◣◣\◣▼◣◣█◣ ╬╬ ˊ どんだけ── ◥█◣ )) ▲██╴▲██ "囧█ ╬╬ ˊ 好文要推── ◥█◣ ◢██▼██▼███m@ ╬╬ EVERYBODY SAY ◣█ █▇▇█▇▇ " ╬╬ 市場求生手冊─ (( ╲ ╲ ▇▇▇ ▆▆▆ ╬╬ http://stasistw.blogspot.com/ █████ ████▅▄▃▂▁ -- ※ 發信站: 批踢踢實業坊(ptt.cc) ◆ From: 111.185.68.232 ※ 編輯: stasis 來自: 111.185.68.232 (07/03 19:12)

07/03 19:24, , 1F
這篇很不錯 推推 很多東西到現在還是一直沿用的
07/03 19:24, 1F

07/03 19:26, , 2F
不過黃色的部分寫的並不太對 VaR跟拉回是無法任何關係的
07/03 19:26, 2F

07/03 19:26, , 3F
VaR觀察一個月後的當下 拉回可能是一個月中間有拉破就GG
07/03 19:26, 3F

07/03 20:46, , 4F
而且VaR也沒辦法描述六標準差事件出來系統會死多慘 XD
07/03 20:46, 4F

07/04 09:04, , 5F
板大~ 我跟你想法一樣 目前也是用兩三根停板當最大部位參考
07/04 09:04, 5F

07/04 09:29, , 6F
VaR是特定期間突破MDD%的機率吧
07/04 09:29, 6F

07/04 09:56, , 7F
樓上說的不對耶?
07/04 09:56, 7F

07/04 10:26, , 8F
VaR是特定時間在一定的機率下績效會低於多少 應該是相反
07/04 10:26, 8F

07/04 10:26, , 9F
的解釋了
07/04 10:26, 9F

07/04 10:27, , 10F
並非特定期間破MDD% 他只看一個時間點 而非期間
07/04 10:27, 10F

07/04 10:28, , 11F
而且他的output不是機率 而是虧損 input才是機率
07/04 10:28, 11F

07/04 10:30, , 12F
另外想請教一下 關於Lake Ratio還有哪些參考資料可看嗎?
07/04 10:30, 12F

07/04 17:55, , 13F
可能定義不一樣 我是根據Seytoka的說法
07/04 17:55, 13F

07/04 18:52, , 14F
VaR是公開的標準了吧 差別在於估計的方法吧
07/04 18:52, 14F

07/05 08:56, , 15F
查了一下wiki 同意你的說法
07/05 08:56, 15F
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