我是R的新用戶並嘗試計算每週 2個財務時間序列與ccf函數之間的自動關聯。與每週數據的自動關聯
這裏是我的代碼:
SPX_ImpliedVola_ts<-ts(SPX_ImpliedVola$x, start=c(2005), end=c(2014), freq=52)
SPX_GSV_ts<-ts(SPX_GSV$x, start=c(2005), end=c(2014), freq=52)
plot(ccf(SPX_ImpliedVola_ts,SPX_GSV_ts, type= "correlation"))
的CCF功能有意義的結果,但x軸的標籤是錯誤的。我的滯後應該是幾周。情節函數使用年代替,因此滯後= 1/52。我沒有足夠的信譽點來發布劇情
是否有簡單的方法來格式化x軸,以便1次滯後= 1周?
這裏是我2013年的數據:
SPX_GSV_ts
structure(c(-0.172545978, -0.085914629, -0.051152522, -0.191885526,
0.10720997, 0.120573931, 0.123062732, -0.073231914, 0.122783425,
-0.073231914, -0.091330136, -0.108595771, -0.149988456, -0.077412223,
0.017728767, -0.057991947, -0.04522754, 0.098925304, 0.019744058,
-0.042403849, 0.097955247, 0.060480747, -0.096910013, 0.04275198,
-0.111150452, -0.123384909, 0.020203386, 0.02540458, 0.046743404,
0.046743404, 0.096910013, -0.029289376, -0.020203386, 0.019305155,
0.124938737, 0.071494417, 0.080655932, 0.032184683, -0.072195125,
0.08058446, 0.109144469, -0.116215168, -0.003792989, -0.011685758,
0.033281387, -0.011685758, 0.044203662, -0.137383556, -0.023912157,
0.023065304, 0.037141808, -0.128799157, -0.036045104), .Tsp = c(2013,
2014, 52), class = "ts")
SPX_ImpliedVola_ts:
structure(c(0.1551244, 0.1764986, 0.169477, 0.1509566, 0.14180975,
0.1455916, 0.1320918, 0.150884, 0.1519094, 0.1670364, 0.1769658,
0.1491722, 0.14883, 0.13545475, 0.134158, 0.1292596, 0.13465,
0.14380075, 0.136281, 0.1350982, 0.1384192, 0.1467728, 0.161534,
0.14764, 0.1332734, 0.1353106, 0.126313, 0.1268324, 0.1200864,
0.1242202, 0.127857, 0.1382412, 0.1319932, 0.1441192, 0.1316964,
0.1217246, 0.1262966, 0.11574475, 0.1166192, 0.1231602, 0.119756,
0.10622025, 0.1133376, 0.1245488, 0.1124368, 0.11566475, 0.1196388,
0.1003482, 0.0994486, 0.0972232, 0.10798775, 0.1115012, 0.1148464
), .Tsp = c(2013, 2014, 52), class = "ts")
請您提供一個可重複的例子。你可以使用'dput'作爲數據的一部分。 – athraa 2014-11-08 21:49:16
嗨@艾哈邁德,謝謝你的快速回復。我剛剛使用dput函數上傳了數據。 – Alexander 2014-11-09 09:03:49