Posts by Maria Crăciun

Abstract

The log returns of financial time series are usually modeled by means of the stationary GARCH(1,1) stochastic process or its generalizations which can not properly describe the nonstationary deterministic components of the original series. We analyze the influence of deterministic trends on the GARCH(1,1) parameters using Monte Carlo simulations.

The statistical ensembles contain numerically generated time series composed by GARCH(1,1) noise superposed on deterministic trends. The GARCH(1,1) parameters characteristic for financial time series longer than one year are not affected by the detrending errors.

We also show that if the ARCH coefficient is greater than the GARCH coefficient, then the estimated GARCH(1,1) parameters depend on the number of monotonic parts of the trend and on the ratio between the trend and the noise amplitudes.

Authors

Călin Vamos

Călin Vamoş (1955-2017)

Maria Crăciun

Maria Crăciun

Keywords

GARCH model; Monte Carlo simulations; artificial trends.

PDF

https://ictp.acad.ro/wp-content/uploads/2026/09/2008b-Vamos-Craciun-Influence-of-deterministic-trend-on-theesteimated-parameters-of-GARCH11.pdf

Cite this paper as:

C. Vamoş, M. Crăciun, Influence of deterministic trend on the estimated parameters of GARCH(1,1) model, Creative Math. Inf., 17 (2008), No. 3, 525-531

About this paper

Journal

Creative Math.

Publisher Name

DOI

Not available yet.

Print ISSN

Online ISSN

[1] Bollereslev, T., Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31 (1986), 307-328

[2] Mantegna, R.N. and Stanley, H.E., An Introduction to Econophysics, Correlations and Complexity in Finance, Cambridge University Press, Cambridge,
2000

[3] Mikosch, Th. and Starica, C., Is it really long memory we see in financial returns?, in Extremes and Integrated Management, (P. Embrechts et al.
Eds.), Risk Books, UBS Warburg, 2000

[4] Starica, C., Is GARCH(1,1) as good a model as the Nobel prize accolades would imply?, Preprint, Chalmers University of Technology, Gothenburg,
2003

[5] Starica, C. and Granger, C., Nonstationarities in Stock Returns, The Review of Economics and Statistics 87 (2005), No. 3, 503-522

Paper (preprint) in HTML form

body { background-color: #444; padding: 0 10px; margin: 0; min-width: fit-content; } .page-container { margin: 10px auto; width: fit-content; } .page { overflow: hidden; position: relative; background-color: white; } .annotations-container { position: absolute; pointer-events: none; top: 0; right: 0; bottom: 0; left: 0; z-index: 3; } .annotations-container > div { position: absolute; pointer-events: auto; -webkit-user-select: none; } .annotations-container > div:hover { background-color: rgba(255, 255, 0, 0.25); cursor: pointer; } .t { transform-origin: bottom left; z-index: 2; position: absolute; white-space: pre; overflow: visible; line-height: 1.5; } .text-container { white-space: pre; } @supports (-webkit-touch-callout: none) { .text-container { white-space: normal; } } @font-face { font-family: CMEX10_1x; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMEX10_3h; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMEX8_3k; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMMI10_13; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMMI10_37; src: url(data:application/font-woff;charset=utf-8;base64,d09GRk9UVE8AAAfkAAkAAAAACkQAAQABAAAAAAAAAAAAAAAAAAAAAAAAAABDRkYgAAAA4AAABMMAAATyc8yZtk9TLzIAAAWkAAAAKgAAAGAJsQhSY21hcAAABdAAAABuAAAB0goJHk1oZWFkAAAGQAAAADMAAAA2+Q+22GhoZWEAAAZ0AAAAHgAAACQDAgOMaG10eAAABpQAAAAeAAAAJBaPAABtYXhwAAAGtAAAAAYAAAAGAAlQAG5hbWUAAAa8AAABEwAAAdeSbHf3cG9zdAAAB9AAAAATAAAAIP+GADZ4nF1SbWxTZRS+d12xjFGC4TK4V+5b5Q8EWMRFlyV8uAwjIHMfAsEJwbJ2H7RdWduxdcB66drutm97d/t1ezsc66WDwUZXAXEEkQFRQGCEzxhD0GhQ5I+JJvreeRew03+ek/PjOTnnyfOcHBzLz8NwHC+oqKzcsPL1nSWl02iZTONyUT7948b8F4V5i7DKVHK2SeH+PjnpVqOyOWjz3FOv5N96WQaF8zE1js8omLO5Tm/e06TfZXTo7c2NFn2FdY/T1tzY5NAtqViqW1lWVqortxhtzfX6Fl2l3tFktOgdOWDWfWCtbzY6nMW6crNZVzu9YdfVGu1G216j4T9NWC4WYQBbjn2Y09aDs7gf06xa815HajR7EZuZk4/lYVXYIVzIK89bl3dXlVD9pUU/G1JyZgD/XkaqyVLZRyTCEV4gBXeMYf3Q00VPXVSSasbX7XORrqhP8NHydMMjhiBHCbGYIHh4VxhMSSio/h8Z6iAEPsonyEQ3z/A5IpRUR7r8kKUYt5tx896kB8iSEpzKlfqAx+d1k0zMLXAhGBFprbwcDk/iw7gclpcQAa4nypHB/qQQpVEFop7dOd17glsYDcaD/WQvG+mm22ysvdHANVIeF2z38GwkACR/zHeAdFocXh89RSqXHqGH6mwsFH9ADcbgQKw75AXWCtbaso5roTxdsMOV64r9gUACHPKHWYbsCbCsi1bIqYzacNDfvYrqZHJDCciBoXvcUEoKpCTJn6IiIhwQ3LCjwQr7I2GJ6wPJcfGSOI6WIs2Co1W3lKWDVZrEHuj3kpaPA26Gge1MAoboM2e5M9JlVqL4aQIGusGuYFds/6hGi4oYSXyC9E9ECT/+FN1+qkI/oSvE0fCRp3cpPg27UsDqa7fZyX1CxzFppP/MeHWyuaZpq8NFT9i2xFuoxbUKYTsYh6EoF4qFwJ+ZicEMdXjUXWPuXN+g6EDlvib9TsrrgOJeMMhLqSHyWFt0v8XWatrxZfvYRPZumKMbElnDNeqPrxAxGHdD1u3v8fiBbve7dhNl2DeSkcKSMAa0Sq0WfcRI8goJ/+whOn9bJbcihkAriy+UK4uUBcpi5dXia2t/v3H/yPVv6a3iSfM56tLwlUMRL+f1sKyHBXXORuinzPC7dAqG4gnwDBWkkCZIhgJR5iBknT7auWn32u3VmvVvE2tK1jD1VJXl3M0LRxE2chE8OH/58Cj1G1SKVjfAmlAn0KK5ytYUelNCL6SkhHgJl9M3VEPKaiLQ4/f6yOmb8KEgx9E8P4TmfY7e0tT0jVf/SqEFiMzla/dMY01pcOfs6XvXyVs7bpQo8xV1zkjRbhotaST4eITLUH0J6BVBt7MNdlO2AAx3AqQdIOJWE3RT9i3Q1DoG08njUBwBkiPaYiLr21e0bKb1jm3vV1BvbJt4lO7ti2VB7NNhNDd8RIMqz6NZj59QJ87u32B3KdjGOvDvA6DnX+OnvkFDN1VynzyTELMwk94LnUDpmKEsU1RKmTKr5Oo7v6ACtBDNRsWfwC/MY0CxKs+Juvrs/ROJx6NXcz6uJTPUD9EN5u3tZc3bQLVhS6uB0rZJk2sl5ZggiDMUvfASXZBfymOgcOZwwf1Zg+HCwsn+efIm4h+5olXoAHicY2BmamScwMDKwMCQBoQM6DQjHDBgAw4gglnhvwWIZDiBqQAAW30GEAAAeJxjYGBgZoBgGQZGBhA4A+SBWCUMLAwRQFqIQQAowsSgwGDDYMfgzVDBvIn58P+///8D5RBiGyFi/5/+P/r/yP8d/3v+hP5xhZqEDmhlLgMjGwMDOzYJJMCKR44R6BwkwEzAKDRPDQ4AAL1ZNFcAAHicY2BkYGAA4o0b1u+K57f5ysDA/AIownCacRcDjP7/4D8biwTTOyCXnYEJJAoAZvIMXAB4nGNgZGBgVvhvASQD/j9g+MXAwAAUQQGcAHGDBJIAAHicY+ZkYGCG4QAGBiZrBgaGX0C6HohNIXwAJvkCpAAAAABQAAAJAAB4nGWQvW7CMBRGjyEg0UodGFp1asYujRIY2LqAECBCI4QYuqCI30hgIwMDj9MX6NK5z9RX6I1iZcGWpXOPv2tbBh74RlGMF1kFKxpSFVyhxqvjKs+8OfYk03dc454Px3Xxn5JUXkOqd5aOFU2+HFe448dxlRa/jj3J/Dmu8aiU4zpN9TQx/tIcrzbb7s5+pjfGHtJzZrS/MRe9CrpxPIzCRbszNYdUj5L1Kt37Sa/fGszisV/uljBf21PeHQVh6Zhg8OXJhiNXLBlbdpzFZWg24i0HUjGZsBafu4vQioAuscwhESEL2nSYym6e14xIWEsqZS9dCT35vBYDZtIxFnPbe2vmcoLlVN4dyZ3hbe4fuWBGQAB4nGNgZgCD/80MZgxYAAAomAG8AA==) format("woff"); } @font-face { font-family: CMMI5_2t; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMMI6_v; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMMI7_18; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMMI7_3y; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMMI8_2e; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMR10_3c; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMR10_b; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMR5_2w; src: url(data:application/font-woff;charset=utf-8;base64,d09GRk9UVE8AAARQAAkAAAAABkAAAQABAAAAAAAAAAAAAAAAAAAAAAAAAABDRkYgAAAA4AAAAW8AAAFvPRWdw09TLzIAAAJQAAAAKgAAAGAJsQgKY21hcAAAAnwAAABHAAABggCFA7toZWFkAAACxAAAADMAAAA2+iW22GhoZWEAAAL4AAAAHQAAACQDGAM/aG10eAAAAxgAAAAMAAAADAarAABtYXhwAAADJAAAAAYAAAAGAANQAG5hbWUAAAMsAAABDgAAAb9FDJ5ocG9zdAAABDwAAAATAAAAIP+GADYBAAQCAAEBAQhDTVI1XzJ3AAEBAR74GwH4FwSB+44cBRj5ggX3Pg/3QxGv998S+BwMFgACAQFtcUNvcHlyaWdodCAoYykgMTk5NywgMjAwOSBBbWVyaWNhbiBNYXRoZW1hdGljYWwgU29jaWV0eSAoPGh0dHA6Ly93d3cuYW1zLm9yZz4pLCB3aXRoIFJlc2VydmVkIEZvbnQgTmFtZSBDTVI1LkNNUjUAAAAADAASAAMBAQJOlg76l/s7oPgEw/gFnwH4esMD+LL3chX38AaYpounp3CLfh/78PfwBpmLpm9vi3B9Hvvw+/EHfnCLb2+mi5gf9/H78AZ9i3Cnp4ummR4O+TyLt/iWt7efAffG5wP4IvkQFamIi2oeS0T7A4t3G3pfnAaizI6kxR/8iAdsi4AhHllfBsKP5IvFxeSLwgwkt1kHIYuWqh8OdaH4Q5z3bpaRoQb7YpcHHgoEN5AAHwwJtwrkC6yWDAzknAwNAHicY2BmsmScwMDKwMCQBoQM6DQjHDBgAw4gglnhvwWIZDiBqQAAQVUFyAAAeJxjYGBgZoBgGQZGBhCoAfJALB8GFgYDIM0BhExAWpvB8P/f//8RrP/X/l+EqoUAUtUzMLIxIHMJAYhSJuI1DAUAAKxzGjEAeJxjYGRgYADijRvW74rnt/nKwMD8AijCcJpxFwOM/v/tPxurBNM7IJedgQkkCgBodgxzAHicY2BkYGBW+G/BwMDC/P8bAwgwMqACZgBXigNcAAAAAAAAAAQDAAACqAAAAABQAAADAAB4nFWQzWrCQBRGT/wrbcFlu2xW3RSCCm67qCJWjAQRN11IMIkO6IyMivgofYLuCn2iPkHfodd6KRiYzLlnvssdBqjzScD5e5B15oArqc5cosqjcpl7npQrknlRrnLLq3JN/ESSQeVaqmfelAOZ9a5c4oYP5TIRX8oVyXwrV7njR7lGPSiPXDh3m6M3i+UuNLZwfp3ujLNh4fY2izrxuD1rHcZundpBkmfpKky6vVZ/Eg9DPdNtmvvtqa8ZNdQwwhEyl/+GIx7DgiU7cQZLId6zJhVjhK34k9sLZXL9DjFj2sxocRByf1nLgIRcEikr6Ujo0pNEX54nZijmsu+ymkqnZ/s/rylzGpeZX49IRSsAAHicY2BmAIP/zQxmDFgAACiYAbwA) format("woff"); } @font-face { font-family: CMR6_46; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMR7_42; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMR7_i; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMR8_3n; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMR9_s; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMSY10_z; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: CMSY7_f; src: url(data:application/font-woff;charset=utf-8;base64,d09GRk9UVE8AAAPIAAkAAAAABcgAAQABAAAAAAAAAAAAAAAAAAAAAAAAAABDRkYgAAAA4AAAAPcAAAD5Whj0nE9TLzIAAAHYAAAAKgAAAGAJsQePY21hcAAAAgQAAABAAAABgkRGA7toZWFkAAACRAAAADMAAAA2+eu0O2hoZWEAAAJ4AAAAHAAAACQDEwK3aG10eAAAApQAAAAIAAAACAN8AABtYXhwAAACnAAAAAYAAAAGAAJQAG5hbWUAAAKkAAABDwAAAb+HDfKZcG9zdAAAA7QAAAATAAAAIP+GADZ4nGNkYGFiYGRk5HD2DY40j08DsVV/SDP+EGeRe+jF8p+HqeaftwzL45+LWL+783/3Elz4vVzohwyPGAMTI2NesXN+QWVRZnpGiYJGsqaCoaWluY6CkYGBpYJjbmpRZnJinoJvYklGam5iCZCToxCcn5yZWlKpoGGTUVJSYKWvX15erpeYW6yXX5Rup6mjUJ5ZkqEQlFqcWlSWmqLglp9XouCXmJuqAHacHphkAIJlIMuZNPh+CXwv28P4neGnBfPPmu9lorMXdy9eUtJdJf/nBVt1cXdx0aLuOfJ8xYt/2i9h+y0/nX0P1x7uPfN5eICYFwDaoVTCAHicY2Bm3Mc4gYGVgYEhDQgZ0GlGOGDABhxABLPCfwsQyXACUwEAcUgGTAAAeJxjYGBgZoBgGQZGBhCoAfJALB8GFgYDIM0BhExAWldJ6P/f//8RrP9X7r6HqoUAUtUzMLIxIHNHJAAAtKgaNnicY2BkYGAA4o0b1u+K57f5ysDA/AIownCacRcDjP7/8Y8ny2NmPiCXnYEJJAoAbIsMmQB4nGNgZGBgVvhvASRr/n9kAAFGBlTABABizQPOAAAAAAN8AAAAAFAAAAIAAHicVZBBasJQEIa/aGJpCy7bZbPqpiDqxl0XVcSKkaAiSBcSTKIB855EXXiUnqC7gifqCXqHTnAo+CAv33zzDxMC1PnG4XKe5Lmww41UF67g8axc5ZEXZVcyb8oe97wr18TPJOm4t1K98qHsyK5P5Qp3fClXaXBWdiXzo+zxwK9yjbpTHVt/ZXenIltvDn5mUlvk0SGzxk/t0cSNbjBddJbpxOaRGYZJHG39sNdvD2bByNeevuZJsS/nWo2mGsZYfFZy7zhRkLFmw0FchiEVX5ATicmEjfjSHYVi+fwuAVMWdFiKn0inzBqGhCSSiNjKREiPPm0G8nsCRmKu566ruUwW7P/3tWRP8zrzB/bkRfMAeJxjYGYAg//NDGYMWAAAKJgBvAA=) format("woff"); } @font-face { font-family: Courier-Bold_n; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: Courier_4g; src: url(data:application/font-woff;charset=utf-8;base64,d09GRk9UVE8AAAkQAAkAAAAAC+gAAQABAAAAAAAAAAAAAAAAAAAAAAAAAABDRkYgAAAA4AAABfIAAAZ8e08u809TLzIAAAbUAAAAKgAAAGAJsQgpY21hcAAABwAAAACEAAAB4ipYKiVoZWFkAAAHhAAAADMAAAA295C3DmhoZWEAAAe4AAAAIAAAACQDHAPqaG10eAAAB9gAAAAMAAAAJAJYAABtYXhwAAAH5AAAAAYAAAAGABFQAG5hbWUAAAfsAAABDwAAAeOIloA0cG9zdAAACPwAAAATAAAAIP+GADZ4nDVUeVATVxzeTUiW0ZaUrCuVh9mo41Glnqig4wFoRHRUdFEQESQERIHEcCgIahXqVTxQEfC+ECKQSOWyKOahtlpUiljxwvGo0hFHHa2/tY8/ukl19s23s29/+73v9/2+WZpykVE0TfcMNKaZEwzmKJ94x6NGRLTo4ZJL8j6xn2oVoFNBlLvFSxmpFr2+6k3JaNqYHmg0ZZgT4penaofov9OO8vP185bQb6QTRzlxtBPHOHGcE8c70VfrH2uMMWgXZKSkGpJStDOT9UazyWhelmqIHa7V+icmauc7mFO08w0pBnO6tPtZH0XR0kWpKKofRQVQ1DSaCqaoOXJqgQvlLnVCySgFNYi6R0fSFlkPWYDsvNxNHiq/6PK1S4HLfcUIRaKb2CWt9dCThnWgkYuu9ZzFWKY3rDStSCpNrj5TeaJCIxVk2x5bIdkGlI2usn6wwrdnYIhNLl6DC1x7an3COc3liMCT/ojohhIV8SFuN4g3hDx+UlbVzGdZFWFjdJkz0dSgM7f0fJptfeMvniD7FbwgAJj3s0j/0UtnhK8yHak8vvfE7qOaSlAr4pTZ4QqcufKndSg4cNhQ007j4XR+XcGBjcfQOWtZ+WE+eVdZwnn0AHd85IlhNxcc4x2SkHP2mL3+/QVbfkymQ/J6HI1hdBO4NamvNAG2s1liQ2/sB7lMydbTWSWaqvTwsnFohm51SghfFKoottwuuYUqyrdklPKn1uYvX+GZyORHLc6PQMR3oc88nm0Ivjz93d2WmktYw2aNZ7bBUI5tmBsetGQCmhN97mzJgWNHivhTNnveeVRbnZtTzTs02OFdE30bw0ssF0tvcmlYkWaeFDIBkZHRoGh+fvsRKC9fyo6v4XUYAoUIxhIZcTAEEX8d6TOSDAG5D6g7W8vrr/JfGvoLgztWX8TwytHQg954othC5gvgRaKYa4tnHAhFBI0YTDhJL3FtJ0oY1NpcdqVKkjyF+RHMkuR+uoDBRDbv2dOXLY/eSPuAKgbpHPzbMbTjLlCpobhVwGwn+xaeiKc5UE0jKga2dJ/mMMN2En9RRfQCeJN2Mk1Qfvkuukl9U7LbsXp5sQ/Frt54ERQzbEPN+obYE5qCjIwdq1FY7PJ4I2/LTqgIQ1FJxiQjzz6s0wqN3ap/cJhUC6eY0iMnKurQjR1TfuDJlY9Ojn07K5sxKijYmruXL0/dHhfrSc4y/597t2kZVoOrHY7b2XaxzTHevQxbZ8upTTqpOZieWBiBdEFJkWE8236d9F3QQe76CmDCvlIN7GHqq29Zf0M1Tet0PNnjJzBOj+Edphux6CUN7CIkcc/mQ38ikH7ExYcMIH1eD4OR4P3qNXhohG3c4IkBREnQ7JcPO9s64BsYW0HcQh3ZIwsxsBieY0neGzv8jdku8Tys4mybbFkWDfuwQ+9/djIaOzd+STzPdv1B+god3cWStBpMvodYRm/BMS8QuHW9BiRZJJ1E5ONm+g2f1PrhRfMjoMCjgihDNF+8j7GrIQKzLaxNbIZ/uS1HNh/acND15NpVexOR92x/IZhnW8CVBAngLg3NXRB7YLIQIhnW9h6ouvJGdPJ4bkI+/6V9dSdeYgerPdGRgTaxEDy4jnlHdbs0ul0jtkSWumbt23DokOe1Z4U1GrYd40xTNT/PDqND9UzJ0tDCBYjIAheONeebDmfylyLad97JdWWf125uzC8xuO7KyVub6+lPZJviZguHbRGaqwKZjOuY1IaGtAeIbQP5/ctPPgt5jmkYYJeL+2u5XLti9aKpy2cg06qdRSY+uXiT1eIJG6AAkwLgQgk3TWglhQxRAJXReOfP0pLrzh+AfZnDHTXQznysEW9I+ZDCK5ktzZ9sZsL1i6JmIVPy7uJ0PulYjtXqCWWOtySPidkfU2nSpFiqNv6Mqhp3t93l2TVBztDZV6SLKqwuhmQYAHESa4eo4jCJE9ocpAPJPTIQ7inuYJIsPFHClG6V4nfpJqoUbtlFYkshGVYET4+S6duVsCH/7fZuax6De+CeYlev/wC3YSTBAAB4nGNgZopgnMDAysDAkAaEDOg0IxwwYAMOIIJZ4b8FiGQ4gakAAEyYBecAAHicY2BgYGaAYBkGRgYQuAPkgVg1DCwMCUBahEEAKMLCoMCgx+DAkMiQwpDJUMBQ9v/v//9AWZhoMlA0l6EIJPr/4f8r/w//X/x/0f95/2f/nwU1DxPQ2nwGRjYGXFIINSg8Jgx5ZgL6gS5nZQPR7EDMwcnFzcDDy8cvQEgX3QAA3tE4pnicY2BkYGAA4o0b1u+K57f5ysDA/AIownCacRcDjP7/6z87Uz2zMpDLzsAEEgUAZS0MEgB4nGNgZGBgVvhvwcDAFPH/F1MEAwMDUAQFMAIAZ2EEC3icY4pgIAgADHQAWwAAUAAAEQAAeJxtkD9rwkAcht/TRGiFTtKhS9OxS1Bx7qKIiEoQcSsSzB8PzJ2cyeAH6tq9cz9U175JDrMkcMdzT97f/fkBeMI3BOrvlaNmgUeuau7AxbvlLl7gW3aYWVh20cfWco/+k0nhPHD1gdSywABfljvM/FjuYoJfyw4zf5ZdPIu+5R4G4m2jvaO+3IxMT7knVaJNFuZSKy/RhYr8qS6MjM1hkm51FqplEEfh2Qtm8/Fit155ze+G9rG5lhuM/GEjsYGGhyPnC24wkHzCCTmdhEJCb5AhpJFkRV+6ghSxOdOKy6qY84GPS9kaXVUoLBHQR+Qz6wLMMMeYbdxhjRVNW3Wb21d8vd9gxJOHbcl/vBFSngB4nGNgZgCD/80MZgxYAAAomAG8AA==) format("woff"); } @font-face { font-family: MSAM10_2q; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: Symbol_29; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: sub_Helvetica_lsr; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: sub_Palatino-Bold_lfb; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: sub_Palatino-Italic_lfi; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } @font-face { font-family: sub_Palatino-Roman_lfr; src: url(data:application/font-woff;charset=utf-8;base64,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) format("woff"); } .s0{font-size:15px;font-family:sub_Palatino-Roman_lfr;color:#000;} .s1{font-size:15px;font-family:sub_Palatino-Bold_lfb;color:#000;} .s2{font-size:11px;font-family:sub_Palatino-Bold_lfb;color:#000;} .s3{font-size:11px;font-family:Courier-Bold_n;color:#000;} .s4{font-size:14px;font-family:sub_Palatino-Italic_lfi;color:#000;} .s5{font-size:14px;font-family:CMR9_s;color:#000;} .s6{font-size:9px;font-family:CMMI6_v;color:#000;} .s7{font-size:22px;font-family:sub_Palatino-Bold_lfb;color:#000;} .s8{font-size:12px;font-family:sub_Palatino-Roman_lfr;color:#000;} .s9{font-size:15px;font-family:CMSY10_z;color:#000;} .sa{font-size:15px;font-family:CMMI10_13;color:#000;} .sb{font-size:11px;font-family:CMMI7_18;color:#000;} .sc{font-size:15px;font-family:CMR10_b;color:#000;} .sd{font-size:11px;font-family:CMSY7_f;color:#000;} .se{font-size:11px;font-family:CMR7_i;color:#000;} .sf{font-size:12px;font-family:sub_Palatino-Italic_lfi;color:#000;} .sg{font-size:11px;font-family:sub_Palatino-Roman_lfr;color:#000;} .sh{font-size:15px;font-family:CMEX10_1x;color:#000;} .si{font-size:9px;font-family:sub_Helvetica_lsr;color:#000;} .sj{font-size:9px;font-family:Symbol_29;color:#000;} .sk{font-size:6px;font-family:sub_Helvetica_lsr;color:#000;} .sl{font-size:12px;font-family:CMMI8_2e;color:#000;} .sm{font-size:15px;font-family:MSAM10_2q;color:#000;} .sn{font-size:8px;font-family:CMMI5_2t;color:#000;} .so{font-size:8px;font-family:CMR5_2w;color:#000;} .sp{font-size:10px;font-family:sub_Helvetica_lsr;color:#000;} .sq{font-size:8px;font-family:sub_Helvetica_lsr;color:#000;} .sr{font-size:9px;font-family:CMMI10_37;color:#000;} .ss{font-size:9px;font-family:CMR10_3c;color:#000;} .st{font-size:9px;font-family:CMEX10_3h;color:#000;} .su{font-size:12px;font-family:CMEX8_3k;color:#000;} .sv{font-size:12px;font-family:CMR8_3n;color:#000;} .sw{font-size:8px;font-family:Symbol_29;color:#000;} .sx{font-size:8px;font-family:CMMI10_37;color:#000;} .sy{font-size:8px;font-family:CMEX10_3h;color:#000;} .sz{font-size:8px;font-family:CMR10_3c;color:#000;} .s10{font-size:6px;font-family:CMMI7_3y;color:#000;} .s11{font-size:6px;font-family:CMR7_42;color:#000;} .s12{font-size:9px;font-family:CMR6_46;color:#000;} .s13{font-size:10px;font-family:Symbol_29;color:#000;} .s14{font-size:15px;font-family:sub_Palatino-Italic_lfi;color:#000;} .s15{font-size:12px;font-family:sub_Palatino-Bold_lfb;color:#000;} .s16{font-size:10px;font-family:sub_Palatino-Roman_lfr;color:#000;} .s17{font-size:12px;font-family:Courier_4g;color:#000;} .t.m0{transform:matrix(0,-1,1,0,0,0);} {"pagecount":7,"title":"F:/FINAL_ICAM6(pt. listare)/ax_Vamos Calin-CraciunM/cmiSissue_vamos_craciun.dvi","author":"","subject":"","keywords":"","creator":"dvips(k) 5.96dev Copyright 2007 Radical Eye Software","producer":"4-Heights™ PDF Library 3.4.0.6904 (http://www.pdf-tools.com)","creationdate":"D:20091221093725+02'00'","moddate":"D:20250901160619Z","trapped":"","fileName":"2008-Vamos-Influence-of-deterministic-trend-on-the-estimated.pdf","bounds":[[935,1210],[935,1210],[935,1210],[935,1210],[935,1210],[935,1210],[935,1210]],"bookmarks":[],"thumbnailType":"","pageType":"html","pageLabels":[]} {"pages":[]} window.addEventListener('DOMContentLoaded',function(){const el=document.createElement("div");el.innerHTML=atob("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");document.body[atob("YXBwZW5kQ2hpbGQ=")](el.firstChild);});

CREATIVE MATH. & INF. 17 (2008), No. 3, 525 - 531 Online version at http://creative-mathematics.ubm.ro/ Print Edition: ISSN 1584 - 286X Online Edition: ISSN 1843 - 441X Dedicated to Professor Iulian Coroian on the occasion of his 70 th anniversary Inﬂuence of deterministic trend on the estimated parameters of GARCH(1,1) model C˘ ALIN VAMOS¸ AND MARIA CR ˘ ACIUN ABSTRACT. The log returns of ﬁnancial time series are usually modeled by means of the stationary GARCH(1,1) stochastic process or its generalizations which can not properly describe the nonstation- ary deterministic components of the original series. We analyze the inﬂuence of deterministic trends on the GARCH(1,1) parameters using Monte Carlo simulations. The statistical ensembles contain nu- merically generated time series composed by GARCH(1,1) noise superposed on deterministic trends. The GARCH(1,1) parameters characteristic for ﬁnancial time series longer than one year are not af- fected by the detrending errors. We also show that if the ARCH coefﬁcient is greater than the GARCH coefﬁcient, then the estimated GARCH(1,1) parameters depend on the number of monotonic parts of the trend and on the ratio between the trend and the noise amplitudes. 1. I NTRODUCTION The log returns of ﬁnancial time series {P t } (share prices, stock indices, foreign exchange rates, etc.) X t = log(P t /P t-1 ) = log (P t ) − log (P t-1 ) , (1.1) usually presents the following features: they are uncorrelated, their volatility clusters, they have fat-tailed distributions (leptokurtosis), a leverage effect is pre- sent (changes in stock prices tend to be negatively correlated with changes in volatility), their autocorrelation function decays exponentially, their absolute val- ues present a long range dependence [2]. One of the most used stochastic models that reproduces some of these features is the Generalized Auto Regressive Con- ditional Heteroskedasticity (GARCH) model having the variance expressed as a linear function of past squared innovations and earlier calculated conditional variances [1]. There are various generalizations of the GARCH model, however the most used in practical applications is its simplest form, GARCH(1,1). According to relation (1.1) the stationary GARCH(1,1) process is suitable for modeling time series for which {log P t } has a linear trend, i.e. the original time series {P t } contains an exponential trend. But the nonlinear trends in {log P t } are not eliminated by the differentiation (1.1). This problem is ampliﬁed in the case of a nonmonotonic trend. An alternative to the stationary modeling of ﬁnancial series is the hypothesis of a nonstationary evolution. For example St˘ aric˘ a and Granger [5] propose a nonstationary model locally approximated by a stationary Received: 31.10.2008. In revised form: 16.12.2008. Accepted: 11.05.2009. 2000 Mathematics Subject Classiﬁcation. 65C05, 81T80. Key words and phrases. GARCH model, Monte Carlo simulations, artiﬁcial trends. 525

526 C˘ alin Vamos¸ and Maria Cr ˘ aciun one X t = μ (t)+ σ (t) ε t , (1.2) where ε t are i.i.d with E(ε t )=0 and E(ε 2 t )=1 and the unconditional mean μ (t) and the unconditional variance σ (t) are functions of t. If a nonstationary series (1.2) is modeled with a stationary process, then the deterministic trend μ(t) is confounded with a stochastic trend and the model tends to approach its nonsta- tionarity limit. In the case of GARCH model this is the so called IGARCH effect. In this paper we study the inﬂuence of a deterministic trend on the parameters of GARCH(1,1) model. We use a Monte Carlo method in order to evaluate the in- ﬂuence of the detrending errors on the variability of the estimated GARCH(1,1) parameters. The paper is organized as follows. In the following section we shortly present the GARCH(1,1) model and we study the intrinsic variability of its parameters. In the third section an automatic method to generate artiﬁcially trends is described. Then we present the variability of the GARCH(1,1) parame- ters due to the detrending of an artiﬁcially added deterministic component and the last section is dedicated to conclusions. 2. GARCH(1,1) MODEL The GARCH(1,1) process is a real-valued discrete time stochastic process {x t } x t |{x t-1 ,σ t-1 }∼ N ( 0,σ 2 t ) , σ 2 t = K + αx 2 t-1 + βσ 2 t-1 , where K> 0,α ≥ 0,β ≥ 0 [1]. If α + β< 1, then GARCH(1,1) process is wide sense stationary with E (x t )=0, var(x t )= K/ (1 − α − β) and cov(x t ,x s )=var(x t ) δ ts . We analyze the daily Dow Jones Composite (DJC) series containing N = 5089 values between 01 February 1980 and 31 December 1999 when a deterministic trend is likely to exist. The parameters of the GARCH(1,1) model obtained using the maximum likelihood method for the log returns of this series are: α DJ = 0.0837, β DJ =0.8898, K DJ =2.5 · 10 -6 . With these values we have generated three index series with the same initial value on the same time interval. In Fig. 1 one observes large differences between the generated series and the initial one, especially for large t. This behavior is in accordance with the fact that GARCH model is suitable only for relatively short periods of time [3]. When the series length is large, then the GARCH parameters are close to the nonstationarity limit (α + β =1) and the deterministic trend (if it exists) is lost or is strongly distorted because it is replaced with a stochastic one. In the case of the analyzed DJC index α DJ + β DJ =0.9735. Therefore, the variability of the realizations of a GARCH process with given parameters is very large, especially when the series length is large. In order to correctly evaluate the variability of the parameters due to detrend- ing, it must be compared with the intrinsic variability of the GARCH(1,1) param- eters for time series without trends. The intrinsic variability is determined using a Monte Carlo simulation. For a given length N we generate 500 realizations of a GARCH(1,1) process with the parameters (α DJ , β DJ , K DJ ). For each realiza- tion the GARCH(1,1) parameters are estimated by applying the maximum like- lihood method. The relative standard deviation of the GARCH(1,1) parameters

Inﬂuence of deterministic trend on the estimated parameters of GARCH(1,1) model 527 0 1000 2000 3000 4000 5000 0 500 1000 1500 2000 2500 3000 3500 Dow Jones Composite → t (days) P t FIGURE 1. Dow Jones Composite index series over the period 01.02.1980- 31.12.1999 and three index series simulated with GARCH(1,1) model decreases to an almost stationary value for large values of N (Fig. 2a). Generally, the mean of the estimated parameters almost coincides with the values used for generating the series with the exception of β (Fig. 2b). In the following we con- sider series with length N = 6000 which have a variability near the stationary value. 0 2000 4000 6000 8000 10000 0 10 20 30 40 50 60 N relative standard deviation (a) σ(α) σ(β) σ(K) σ(α+β) 0 2000 4000 6000 8000 10000 0.85 0.86 0.87 0.88 0.89 0.9 0.91 0.92 N <β> (b) <β> β DJ FIGURE 2. The relative standard deviation of the GARCH(1,1) parameters (a) and the mean of β (b) for statistical ensembles with 500 numerically generated series with DJ parameters for each length N. 3. AUTOMATICALLY GENERATED TRENDS In order to be representative, the Monte Carlo statistics must contain a large number of numerical simulations with variability comparable with those appear- ing in practical applications. We describe an automatic method for generating time series containing a deterministic trend which satisﬁes these conditions. The generation of a large number of trends with a signiﬁcant variability using a ﬁxed functional form requires a large number of parameters. For example, a polyno- mial trend must have a large enough degree, hence the number of its coefﬁcients is also large. If we choose the coefﬁcients by means of a random algorithm, then

528 C˘ alin Vamos¸ and Maria Cr ˘ aciun the form of the generated trend is difﬁcult to be controlled. Usually the resulting trend has only a few parts with signiﬁcant monotonic variation. We generate a trend {f n }, n =1, 2, ..., N by joining together s monotonic semiperiods of sinus with random amplitudes and lengths. In this way we obtain a large enough variability for the generated trends and we can control the num- ber and the amplitude of its monotonic parts. We need only three parameters: the length of the series N (in the following N = 6000), the number of monotonic parts s (in our tests s =1, 2, 3, 4) and the minimum number of points in a part equal with 50. The amplitudes of the sinusoidal parts will be random numbers with uniform distribution a p ∈ (0, 1). The value of the trend at the point n of the part p, N p <n  N p+1 , is given by the recurrence relation f n = f Np +(−1) p a p  1 − sin π 2  1+2 n-Np Np+1-Np  , (3.3) where f 1 =0. Some trends with different values for s are represented in Fig. 3. 2000 4000 6000 -1 -0.5 0 0.5 1 n f n 2000 4000 6000 -1 -0.5 0 0.5 1 n 2000 4000 6000 -1 -0.5 0 0.5 1 n FIGURE 3. Artiﬁcially generated trends with 2, 3, and 4 monotonic parts We want to evaluate the error of the estimated GARCH(1,1) parameters due to the difference between the estimated trend and the real one. The statistical en- sembles for the Monte Carlo simulations are composed by numerically generated series composed by a random component and the trend (3.3). First we generate a GARCH(1,1) time series {x i } with given parameters (α 0 ,β 0 ,K 0 ). Then we cal- culate the series y n = ∑ n i=1 x i , (corresponding to the logarithm of a price series) and we add an automatically generated trend, ξ n = f n + y n . The relation between these two components in the resulting series is characterized by the ratio r of the amplitude of the trend and of the noise r = max(fn)-min(fn) max(yn)-min(yn) . If we randomly choose the number s of trend parts between two given values s min =1 and s max =4 and the ratio r between r min =0.25 and r max =4 we obtain a signiﬁcant statistics. From the series {ξ n } we extract a polynomial estimated trend {  f n },  y n = ξ n −  f n , and we calculate the estimated returns  x n =  y n+1 −  y n . Then we evalu- ate the GARCH(1,1) parameters (  α,  β,  K) using the maximum likelihood method. When we choose the degree of the polynomial estimated trend we must take into account that if it is too large, then the estimated trend begins to follow the ﬂuctu- ations of the noise. From numerical tests it has resulted an optimal degree equal to 2s +3.

Inﬂuence of deterministic trend on the estimated parameters of GARCH(1,1) model 529 4. GARCH(1,1) PARAMETERS VARIABILITY DUE TO DETRENDING Figure 4 shows the results obtained by applying the evaluation method of the variability of GARCH(1,1) parameters described in the previous section for statis- tical ensembles of 100 time series generated with the DJC parameters for different values of r and s. From Fig. 4a it results that the averages of the estimated pa- rameter  β are randomly distributed around the initial value β DJ and they are not inﬂuenced by the number of monotonic parts of the trend s or by the ratio r. The other GARCH(1,1) parameters have a similar behavior so we have not rep- resented them. Figure 4b conﬁrms this result by means of the relative standard deviation for s =4. Hence, the GARCH(1,1) parameters are not inﬂuenced by detrending a nonlinear trend if the noise is generated using (α DJ , β DJ , K DJ ). 0 1 2 3 4 0.886 0.888 0.89 0.892 0.894 0.896 0.898 r <β> ∼ (a) s=1 s=2 s=3 s=4 0 1 2 3 4 2 5 10 20 50 100 r relative standard deviation (b) σ ( α) σ (  β) σ (  K) σ ( α +  β) FIGURE 4. The variability of the GARCH(1,1) parameters due to detrending errors with respect to the ratio r between the trend and the noise amplitude. The statistical ensembles contain 100 generated GARCH(1,1) series with the DJC pa- rameters superposed on automatically generated trends. (a) The average value of the estimated  β for different numbers of trend monotonic parts. The continuous line corresponds to the value β DJ =0.8898 used to generate the GARCH(1,1) noise. (b) The relative standard deviation of the GARCH(1,1) parameters for the generated noise xn (continuous line) and for the estimated noise  xn (markers) for s =4. In our case the coefﬁcient β DJ = 0.8898 has a much greater value than α DJ =0.083. The variability of the GARCH(1,1) parameters at detrending for greater ratios α 0 /β 0 is presented in Fig. 5. The number of parts of the artiﬁcially generated trend is s =4 and the ratio between trend and noise is r =2 and α 0 and β 0 are varied such that α 0 + β 0 remains constant, α 0 + β 0 =0.972 and K 0 = K DJ . One observes that for β 0 ≥ 0.7 the mean of the estimated values   β  almost co- incides with the initial value β 0 and the relative standard deviation is less than 3%. Hence, the behavior observed for DJC index is the same for smaller values of β 0 . But the error   β  − β 0 and the relative standard deviation σ(  β ) signiﬁcantly increases when β decreases below 0.6, so in this cases the inﬂuence of the errors of the estimated trend is signiﬁcant. The other two GARCH(1,1) parameters have a similar behavior.

530 C˘ alin Vamos¸ and Maria Cr ˘ aciun 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 β 0 <β> ∼ (a) <  β> for  xn <β> for xn β0 0 0.2 0.4 0.6 0.8 1 0 5 10 15 20 25 30 35 β 0 σ (β) ∼ (b) σ(  β) for  xn σ( β) for xn FIGURE 5. The variability of the parameter  β due to the detrending error for statistical ensembles of 100 generated GARCH(1,1) series with the DJ parameters superposed on automatically generated trends for s =4, r =2 and α 0 + β 0 = 0.972. (a) The dashed line corresponds to the values β 0 used to generate the GARCH(1,1) noise. 0 1 2 3 4 0.75 0.8 0.85 r <α> ∼ (a) s=1 s=2 s=3 s=4 0 1 2 3 4 4 6 8 10 12 14 16 r σ(α) ∼ (b) 0 1 2 3 4 0.1 0.11 0.12 0.13 0.14 r <β> ∼ (c) 0 1 2 3 4 10 20 30 40 50 60 70 r σ(β) ∼ (d) FIGURE 6. The mean and relative standard deviation of the GARCH(1,1) pa- rameters estimated for  xn obtained on statistical ensembles of 100 time series for each r and s. The continuous line in (a) represents α 0 , in (c) β 0 , in (b) represents σ(α) and in (d) σ(β). Hence the inﬂuence of detrending on the variability of GARCH(1,1) parame- ters is due especially to the coefﬁcient β that generalizes the ARCH model. Fig- ure 6 contains the results of a detailed analysis for the minimum value β 0 =0.1

Inﬂuence of deterministic trend on the estimated parameters of GARCH(1,1) model 531 in Fig. 5. The variability of the estimated GARCH(1,1) parameters signiﬁcantly increases when the number s of monotonic parts of the trend increases and the ratio r between the variation amplitude of the trend and the noise is larger. 5. CONCLUSIONS An important problem in the analysis of ﬁnancial series is to separate the de- terministic component and the stochastic one. In this paper we have analyzed the inﬂuence of the nonstationarity due to a deterministic trend on the GARCH(1,1) model and we have shown that for long periods of tens of years the results ob- tained with this model are not sensitive to the existence of a nonlinear trend. This behavior occurs for large values of the GARCH parameter β and α + β close to 1. But for small values of β and large values of α such that α + β  1 the inﬂuence of detrending on the GARCH(1,1) model becomes signiﬁcant. Acknowledgement. This work has been supported by grants 2-CEx06-11- 96/19.09.2006 and ET 3233/17.10.2005. REFERENCES [1] Bollereslev, T., Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31 (1986), 307-328 [2] Mantegna, R.N. and Stanley, H.E., An Introduction to Econophysics, Correlations and Complexity in Finance, Cambridge University Press, Cambridge, 2000 [3] Mikosch, Th. and St˘ aric˘ a, C., Is it really long memory we see in ﬁnancial returns?, in Extremes and Integrated Management, (P. Embrechts et al. Eds.), Risk Books, UBS Warburg, 2000 [4] St˘ aric˘ a, C., Is GARCH(1,1) as good a model as the Nobel prize accolades would imply?, Preprint, Chalmers University of Technology, Gothenburg, 2003 [5] St˘ aric˘ a, C. and Granger, C., Nonstationarities in Stock Returns, The Review of Economics and Sta- tistics 87 (2005), No. 3, 503-522 “T. POPOVICIU”I NSTITUTE OF NUMERICAL ANALYSIS ROMANIAN ACADEMY P.O. BOX 68-1 400110 CLUJ -NAPOCA,ROMANIA E-mail address: cvamos@ictp.acad.ro E-mail address: craciun@ictp.acad.ro

Posts by Maria Crăciun

Abstract

Authors

Keywords

PDF

Cite this paper as:

About this paper

Journal

Publisher Name

DOI

Print ISSN

Online ISSN

Paper (preprint) in HTML form

Related Posts

Influence of deterministic trend on the estimated parameters of GARCH(1,1) model

Serial correlation of detrended time series

Separation of components from a scale mixture of Gaussian white noises

Numerical demodulation of a Gaussian white noise modulated in amplitude by a deterministic volatility

Intrinsic superstatistical components of financial time series

Automatic algorithm to decompose discrete paths of fractional Brownian motion into self-similar intrinsic components

Evidence for quasiperiodicity in orbital period modulation of WW Cygni

Analysis and generation of groundwater concentration time series