• 제목/요약/키워드: log-return

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A NOTE ON THE RETURN TIME OF STURMIAN SEQUENCES

  • Kim, Dong Han
    • Korean Journal of Mathematics
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    • 제16권3호
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    • pp.301-307
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    • 2008
  • Let $R_n$ be the the first return time to its initial n-word. Then the Ornstein-Weiss first return time theorem implies that log$R_n$ divided by n converges to entropy. We consider the convergence of log$R_n$ for Sturmian sequences which has the lowest complexity. In this case, we normalize the logarithm of the first return time by log n. We show that for any numbers $1{\leq}{\alpha},\;{\beta}{\leq}{\infty}$, there is a Sturmian sequence of which limsup is ${\alpha}$ and liminf is $1/{\beta}$.

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지진 재현수준 예측에 대한 로그-로지스틱 분포와 일반화 극단값 분포의 비교 (Comparison of log-logistic and generalized extreme value distributions for predicted return level of earthquake)

  • 고낙경;하일도;장대흥
    • 응용통계연구
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    • 제33권1호
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    • pp.107-114
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    • 2020
  • 자연 재해로부터 관측되는 자료를 대상으로 재현 수준 예측 등과 같은 자료 분석을 위해 일반화 극단값 분포(generalized extreme value)가 자주 사용되어 왔다. 표본 수가 충분히 큰 경우 연속적인 블록 최댓값들은 점근적으로 일반화 극단값 분포를 따른다. 하지만 소표본인 경우 이러한 사실은 성립되지 않을 수도 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 모형 적합도 검정 및 모형 선택을 통해 로그-로지스틱(log-logistic) 분포의 사용을 제안한다. 하나의 예증으로서 중국 지진 자료를 대상으로 하여 로그-로지스틱 분포를 이용하여 재현 기간별 재현 수준 예측 및 신뢰구간을 제시한다.

Structural Change in the Price-Dividend Ratio and Implications on Stock Return Prediction Regression

  • Lee, Ho-Jin
    • 재무관리연구
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    • 제24권2호
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    • pp.183-206
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    • 2007
  • The price-dividend ratio is one of the most frequently used financial variables to predict long-horizon stock return. However, the persistency of the price-dividend ratio is found to cause the spuriousness of the stock return prediction regression. The stable relationship between the stock price and the dividend, however, seems to weaken after World War II and to experience structural break. In this paper, we identify a structural change in the cointegrating relationship between the log of the stock price and the log of the dividend. Confirming a structural break in 1962, we subdivide the sample and apply the fully modified estimator to correct for the nonstationarity of the regressor. With the subdivided sample, we exercise the nonparametric bootstrap procedure to derive the empirical distribution of the test statistics and fail to find return predictability in each subsample period.

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A NEW VERSION OF FIRST RETURN TIME TEST OF PSEUDORANDOMNESS

  • Kim, Dong-Han
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제12권2호
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    • pp.109-118
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    • 2008
  • We present a new version of the first return time test for pseudorandomness. Let $R_n$ be the first return time of initial n-block with overlapping. An algorithm to calculate the probability distribution of the first return time $R_n$ for each starting block is presented and used to test pseudorandom number generators. The standard Z-test for log $R_n$ is applied to test the pseudorandom number generators.

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A 94-GHz Phased Array Antenna Using a Log-Periodic Antenna on a GaAs Substrate

  • Uhm, Won-Young;Ryu, Keun-Kwan;Kim, Sung-Chan
    • Journal of information and communication convergence engineering
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    • 제13권2호
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    • pp.81-85
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    • 2015
  • A 94-GHz phased array antenna using a log-periodic antenna has been developed on a GaAs substrate. The developed phased array antenna comprises four log-periodic antennas, a phase shifter, and a Wilkinson power divider. This antenna was fabricated using the standard microwave monolithic integrated circuit (MMIC) process including an air bridge for unipolar circuit implementations on the same GaAs substrate. The total chip size of the fabricated phased array antenna is 4.8 mm × 4.5 mm. Measurement results showed that the fabricated phased array antenna had a very wide band performance from 80 GHz to 110 GHz with return loss characteristics better than -10 dB. In the center frequency of 94 GHz, the fabricated phased array antenna showed a return loss of -16 dB and a gain of 4.43 dBi. The developed antenna is expected to be widely applied in many applications at W-band frequency.

대수(對數)-Gumbel 확률분포함수(確率分布函數)의 매개변수(媒介變數) 추정(推定)과 신뢰한계(信賴限界) 유도(誘導) (Parameter Estimation and Confidence Limits for the Log-Gumbel Distribution)

  • 허준행
    • 대한토목학회논문집
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    • 제13권4호
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    • pp.151-161
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    • 1993
  • 본 연구에서는 기존의 대수(對數)형태인 대수(對數)-Gumbel 확률분포함수를 변환하여 새로운 형태의 대수(對數)-Gumbel 확률분포함수를 정립하였다. 이 분포함수를 이용하여 모멘트법, 최우도법, 확률가중모멘트법(Probability weighted moments)에 기초한 매개변수 추정과정을 유도하였으며, 또한 재현기간별 신뢰한계를 구하기 위하여 각각의 매개변수 추정법에 대한 점근분산식(漸近分散式)을 유도하였다. 아울러 유도된 식들을 실제 자료에 적용하였다.

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제곱수익률 그래프와 TGARCH 모형을 이용한 비대칭 변동성 분석 (Squared Log-return and TGARCH Model : Asymmetric Volatility in Domestic Time Series)

  • 박진아;송유진;백지선;황선영;최문선
    • 응용통계연구
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    • 제20권3호
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    • pp.487-497
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    • 2007
  • 일반적인 ARCH 형태의 모형들은 자산수익률의 급첨 (leptokurtic; heavy-tail) 성질과 변동성 집중 (volatility clustering) 현상 등의 특징을 잘 포착해내는 반면, 수익률의 부호에 따른 비대칭 레버리지 효과 (leverage effect)는 반영 할 수 없다는 단점을 가진다. 따라서 최근 금융 시계열 분야에서는 비대칭-조건부-이분산 시계열 모형에 대한 관심이 높아지고 있다. 본 연구에서는 국내 금융 시계열자료 (KOSPI, KOSDAQ, 환율, 채권, 주요종목의 주가)의 수익률 제곱을 그래프화 하여 비대칭 이분산성을 시각적으로 탐지하고 이를 바탕으로 비대 칭 TGARCH(1,1) 모형을 적합한 후 기존의 대칭 GARCH(1,1) 모형과 비교분석하고자 한다.

빈도 분석법을 이용한 논벼의 한발 기준 10년 빈도 작물 증발산량 산정 (Estimating Paddy Rice Evapotranspiration of 10-Year Return Period Drought Using Frequency Analysis)

  • 유승환;최진용;장민원
    • 한국농공학회논문집
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    • 제49권3호
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    • pp.11-20
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    • 2007
  • Estimation of crop consumptive use is a key term of agricultural water resource systems design and operation. The 10-year return period drought has special aspects as a reference period in design process of irrigation systems in terms of agricultural water demand analysis so that crop evapotranspiration (ETc) about the return period also has to be analyzed to assist understanding of crop water requirement of paddy rice. In this study, The ETc of 10-year return period drought was computed using frequency analysis by 54 meteorological stations. To find an optimal probability distribution, 8 types of probability distribution function were tested by three the goodness of fit tests including ${\chi}^2$(Chi-Square), K-S (Kolmogorov-Smirnov) and PPCC (Probability Plot Correlation Coefficient). Optimal probability distribution function was selected the 2-parameter Log-Normal (LN2) distribution function among 8 distribution functions. Using the two selected distribution functions, the ETc of 10-year return period drought was estimated for 54 meteorological stations and compared with prior study results suggested by other researchers.

Extreme Value Analysis of Metocean Data for Barents Sea

  • Park, Sung Boo;Shin, Seong Yun;Shin, Da Gyun;Jung, Kwang Hyo;Choi, Yong Ho;Lee, Jaeyong;Lee, Seung Jae
    • 한국해양공학회지
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    • 제34권1호
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    • pp.26-36
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    • 2020
  • An extreme value analysis of metocean data which include wave, wind, and current data is a prerequisite for the operation and survival of offshore structures. The purpose of this study was to provide information about the return wave, wind, and current values for the Barents Sea using extreme value analysis. Hindcast datasets of the Global Reanalysis of Ocean Waves 2012 (GROW2012) for a waves, winds and currents were obtained from the Oceanweather Inc. The Gumbel distribution, 2 and 3 parameters Weibull distributions and log-normal distribution were used for the extreme value analysis. The least square method was used to estimate the parameters for the extreme value distribution. The return values, including the significant wave height, spectral peak wave period, wind speed and current speed at surface, were calculated and it will be utilized to design offshore structures to be operated in the Barents Sea.

Low Outliers를 고려한 홍수빈도분석에 관한 연구 (A study on the Flood Frequency Analyzed in Consideration of Low Outliers.)

  • 이순혁;홍성표;박명근
    • 한국농공학회지
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    • 제30권4호
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    • pp.62-70
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    • 1988
  • This study was conducted to solve the problems for the unsuitable parameters and the uncertainty of design flood can be appeared by low outliers were inclined to the lower part from the trend of the balance of the data. Derivation of reasonable design flood was attempted finally by modification of low outliers with analysis of flood frequency by means of Log Pearson Type Ill distribution. Three subwatersheds were selected as studying basins with the annual maximum series including low outliers along Geum River basin. The results through this study were analyzed and summarized as follows. 1. Log Pearson Type In distribution was confirmed as a reasonable one by X$^2$ goodness of fit test at Gong Ju, Gyu Am, og Cheon watershed along Geum River basin. 2. Probable flood flows for each watershed were derivated by flood frequency curve with outliers. 3. Weighted skew coefficient for each watershed was calculated for the evaluation of freq- uency factor which is needed for the modification of low outlier. 4. It was confirrned that adjusted frequency curve has a lower tendency than that of deletion of low outlier in common at all watersheds. 5. Final probable flood flows were derivated by modification with evaluation of modified basic statistics for three watersheds. 6. In comparison with a frequency curve with modification and one with outlier, The former has a higher probable flood flow within three years of return periods than that of the latter, and vice versa over three years of return periods.

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