29 Short-time prediction of time series data for binary option trade

Size: px
Start display at page:

Download "29 Short-time prediction of time series data for binary option trade"

Transcription

1 29 Short-time prediction of time series data for binary option trade

2 RSI(Relative Strength Index) 3 USD/JPY high low i

3 Abstract Short-time prediction of time series data for binary option trade Tomoya Baba One of the investment methods in binary option. Binary options are investment methods that predict whether short-term foreign exchange rates will rise or fall. In recent years, day trade which repeats short-term transactions is becoming mainstream, and people who are investing as hobbies by binary option due to popularization of mobile terminals are rapidly increasing. However, there are still few studies on binary options. Technical analysis is used to distinguish the range price and the trend price from the slope of the moving average line, and to improve the prediction accuracy of the shortterm exchange rate by the binary option. Indicators used for prediction are moving average lines, Bollinger band, RSI(Relative Strength Index), and change the indicator to be used depending on the market price. Also, we change the market follower and resistance dealing to the market rate, and do the experiment. In the experiment, the period of USD/JPY exchange rate 1 minute historical data period from 4:10 on January 2, 2001 to 17:00 on December 29, 2017 was used. We predict the exchange rate after one minute, which is mainstream in the binary option investment method, at high or low, and compare when we do not distinguish between market quotations and when investment method is changed. Results are distinguishable from market price, and the method of resistance in the range market and follower in ii

4 the trend market has become the method of increasing the funds to the greatest extent. key words foreign exchange, binary option, short-time prediction iii

5 (Foreign exchange) RSI(Relative Strength Index) iv

6 v

7 36 vi

8 ( 5 ) vii

9 ( 0.001) ( 0.002) ( 0.001) ( 0.002) ( 0.001) ( 0.002) ( 0.001) ( 0.002) ( 0.005) ( 0.006) viii

10 4.16 ( 0.005) ( 0.006) ( 0.005) ( 0.006) ( 0.005) ( 0.006) ix

11 1 [1] [2] (FX:Foreign exchange) [3] FX FX 2 FX Relative Strength Index(RSI) 1

12 FX RSI 2

13 2 2.1 FX(Foreign exchange) FX FX 2.2 (Foreign exchange) Foreign exchange(fx) FX

14 2.2 (Foreign exchange) FX [4] FX FX FX FX FX 25 4

15 (%) (%)

16 , ECB 400PIPS PIPS( ) 2.1 6

17 [5] 4 7

18

19

20 [7] ( 5 ) 10

21 [8] (%)

22 RSI(Relative Strength Index) RSI [9] RSI 2.7 [10] 12

23

24

25 HistData.com USD/JPY

26 RSI 3 3 RSI RSI ( ) RSI ( ) RSI

27 RSI RSI

28

29 high low high low , , , ,800 high low high low ,200-12,400-2,684,000 3,731,400 high low high low ,475, , ,

30 RSI55 60 AND ,293,000 RSI60 65 AND ,800 RSI65 70 AND ,600 RSI55 60 AND ,644,800 RSI60 65 AND ,308,000 RSI65 70 AND ,200 RSI55 60 AND ,161,800 RSI60 65 AND ,254,600 RSI65 70 AND ,439,

31 RSI30 35 AND ,800 RSI35 40 AND ,733,200 RSI40 45 AND ,794,400 RSI30 35 AND ,770,200 RSI35 40 AND ,570,200 RSI40 45 AND ,293,400 RSI30 35 AND ,324,800 RSI35 40 AND ,664,400 RSI40 45 AND ,741, RSI25 AND ,197,600 RSI30 AND ,113,000 RSI35 AND ,958,800 RSI25 AND ,367,800 RSI30 AND ,513,400 RSI35 AND ,564,800 RSI25 AND ,400 RSI30 AND ,409,000 RSI35 AND

32 RSI65 AND ,707,000 RSI70 AND ,197,600 RSI75 AND ,286,600 RSI65 AND ,669,600 RSI70 AND ,043,800 RSI75 AND ,308,000 RSI65 AND ,628,400 RSI70 AND ,649,800 RSI75 AND ,800 22

33 ( 0.001) RSI55 60 AND ,177,200 RSI60 65 AND ,800 RSI65 70 AND ,200 RSI55 60 AND ,345,200 RSI60 65 AND ,200 RSI65 70 AND ,400 RSI55 60 AND ,686,000 RSI60 65 AND ,050,400 RSI65 70 AND , ( 0.002) RSI55 60 AND ,240,800 RSI60 65 AND ,800 RSI65 70 AND ,000 RSI55 60 AND ,211,600 RSI60 65 AND ,593,000 RSI65 70 AND ,000 RSI55 60 AND ,729,800 RSI60 65 AND ,112,200 RSI65 70 AND ,216,400 23

34 ( 0.001) RSI30 35 AND ,400 RSI35 40 AND ,400 RSI40 45 AND ,249,200 RSI30 35 AND ,200 RSI35 40 AND ,068,800 RSI40 45 AND ,034,600 RSI30 35 AND ,115,200 RSI35 40 AND ,788,000 RSI40 45 AND ,428, ( 0.002) RSI30 35 AND ,800 RSI35 40 AND ,800 RSI40 45 AND ,415,600 RSI30 35 AND ,800 RSI35 40 AND ,963,400 RSI40 45 AND ,797,800 RSI30 35 AND ,829,200 RSI35 40 AND ,764,400 RSI40 45 AND ,852,000 24

35 ( 0.001) RSI25 AND ,876,000 RSI30 AND ,978,000 RSI35 AND ,381,800 RSI25 AND ,253,400 RSI30 AND ,131,200 RSI35 AND ,482,400 RSI25 AND ,803,200 RSI30 AND ,975,800 RSI35 AND ,784, ( 0.002) RSI25 AND ,876,000 RSI30 AND ,977,400 RSI35 AND ,397,800 RSI25 AND ,625,800 RSI30 AND ,131,400 RSI35 AND ,253,400 RSI25 AND ,823,200 RSI30 AND ,075,800 RSI35 AND ,684,000 25

36 ( 0.001) RSI65 AND ,281,400 RSI70 AND ,600 RSI75 AND ,800 RSI65 AND ,000 RSI70 AND ,600 RSI75 AND ,200 RSI65 AND ,800 RSI70 AND ,200 RSI75 AND , ( 0.002) RSI65 AND ,731,400 RSI70 AND ,600 RSI75 AND ,200 RSI65 AND ,845,800 RSI70 AND ,200 RSI75 AND ,800 RSI65 AND ,400 RSI70 AND ,800 RSI75 AND ,800 26

37 ( 0.005) RSI55 60 AND ,206,600 RSI60 65 AND ,235,600 RSI65 70 AND ,480,800 RSI55 60 AND ,253,000 RSI60 65 AND ,464,600 RSI65 70 AND ,478,000 RSI55 60 AND ,442,000 RSI60 65 AND ,768,000 RSI65 70 AND ,052, ( 0.006) RSI55 60 AND ,800 RSI60 65 AND ,600 RSI65 70 AND ,600 RSI55 60 AND ,015,600 RSI60 65 AND ,200 RSI65 70 AND ,000 RSI55 60 AND ,717,600 RSI60 65 AND ,600 RSI65 70 AND ,000 27

38 ( 0.005) RSI30 35 AND ,600 RSI35 40 AND ,800 RSI40 45 AND ,400 RSI30 35 AND ,000 RSI35 40 AND ,200 RSI40 45 AND ,600 RSI30 35 AND ,000 RSI35 40 AND ,000 RSI40 45 AND ,268, ( 0.006) RSI30 35 AND ,600 RSI35 40 AND ,600 RSI40 45 AND ,200 RSI30 35 AND ,600 RSI35 40 AND ,400 RSI40 45 AND ,600 RSI30 35 AND ,400 RSI35 40 AND ,800 RSI40 45 AND ,109,600 28

39 ( 0.005) RSI25 AND RSI30 AND RSI35 AND RSI25 AND RSI30 AND RSI35 AND RSI25 AND RSI30 AND RSI35 AND ( 0.006) RSI25 AND RSI30 AND RSI35 AND RSI25 AND RSI30 AND RSI35 AND RSI25 AND RSI30 AND RSI35 AND

40 ( 0.005) RSI65 AND ,133,800 RSI70 AND ,822,000 RSI75 AND ,441,000 RSI65 AND ,401,400 RSI70 AND ,728,000 RSI75 AND ,647,400 RSI65 AND ,735,200 RSI70 AND ,413,400 RSI75 AND ,689, ( 0.006) RSI65 AND ,545,200 RSI70 AND ,381,400 RSI75 AND ,931,600 RSI65 AND ,646,800 RSI70 AND ,823,800 RSI75 AND ,068,400 RSI65 AND ,018,800 RSI70 AND ,825,600 RSI75 AND ,800 30

41 RSI65~70 RSI30~ RSI30~35AND 21 RSI 3 RSI RSI 31

42 RSI 60. RSI 40% 32

43 6 1 USD/JPY RSI 33

44 ITNEWS 34

45 35

46 [1] Meese, R. A. and Rogoff, K. Empirical exchange rate models of the seventies: Do they fit out of sample?, Journal of international economics, Vol. 14, No. 1-2, pp [2] Qian, B. and Rasheed, K. Foreign exchange market prediction with multiple classifiers, Journal of Forecasting, Vol. 29, No. 3, pp [3],,, USD/JPY,, [4] /2/16. [5], FX,, pp.82, [6], FX,, pp. 55, [7] 3, /2/16. [8], FX,, pp. 141, [9], FX,, pp. 90, [10], FX 230,, pp. 19,

..,,,, , ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i

..,,,, , ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i 25 Feature Selection for Prediction of Stock Price Time Series 1140357 2014 2 28 ..,,,,. 2013 1 1 12 31, ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i Abstract Feature Selection for Prediction of Stock Price Time

More information

SC-85X2取説

SC-85X2取説 I II III IV V VI .................. VII VIII IX X 1-1 1-2 1-3 1-4 ( ) 1-5 1-6 2-1 2-2 3-1 3-2 3-3 8 3-4 3-5 3-6 3-7 ) ) - - 3-8 3-9 4-1 4-2 4-3 4-4 4-5 4-6 5-1 5-2 5-3 5-4 5-5 5-6 5-7 5-8 5-9 5-10 5-11

More information

<4D6963726F736F667420506F776572506F696E74202D208376838C835B83938365815B835683878393312E707074205B8CDD8AB78382815B83685D>

<4D6963726F736F667420506F776572506F696E74202D208376838C835B83938365815B835683878393312E707074205B8CDD8AB78382815B83685D> i i vi ii iii iv v vi vii viii ix 2 3 4 5 6 7 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

More information

22 Google Trends Estimation of Stock Dealing Timing using Google Trends

22 Google Trends Estimation of Stock Dealing Timing using Google Trends 22 Google Trends Estimation of Stock Dealing Timing using Google Trends 1135064 3 1 Google Trends Google Trends Google Google Google Trends Google Trends 2006 Google Google Trend i Abstract Estimation

More information

III

III III 1 1 2 1 2 3 1 3 4 1 3 1 4 1 3 2 4 1 3 3 6 1 4 6 1 4 1 6 1 4 2 8 1 4 3 9 1 5 10 1 5 1 10 1 5 2 12 1 5 3 12 1 5 4 13 1 6 15 2 1 18 2 1 1 18 2 1 2 19 2 2 20 2 3 22 2 3 1 22 2 3 2 24 2 4 25 2 4 1 25 2

More information

iii iv v vi vii viii ix 1 1-1 1-2 1-3 2 2-1 3 3-1 3-2 3-3 3-4 4 4-1 4-2 5 5-1 5-2 5-3 5-4 5-5 5-6 5-7 6 6-1 6-2 6-3 6-4 6-5 6 6-1 6-2 6-3 6-4 6-5 7 7-1 7-2 7-3 7-4 7-5 7-6 7-7 7-8 7-9 7-10 7-11 8 8-1

More information

これわかWord2010_第1部_100710.indd

これわかWord2010_第1部_100710.indd i 1 1 2 3 6 6 7 8 10 10 11 12 12 12 13 2 15 15 16 17 17 18 19 20 20 21 ii CONTENTS 25 26 26 28 28 29 30 30 31 32 35 35 35 36 37 40 42 44 44 45 46 49 50 50 51 iii 52 52 52 53 55 56 56 57 58 58 60 60 iv

More information

パワポカバー入稿用.indd

パワポカバー入稿用.indd i 1 1 2 2 3 3 4 4 4 5 7 8 8 9 9 10 11 13 14 15 16 17 19 ii CONTENTS 2 21 21 22 25 26 32 37 38 39 39 41 41 43 43 43 44 45 46 47 47 49 52 54 56 56 iii 57 59 62 64 64 66 67 68 71 72 72 73 74 74 77 79 81 84

More information

これでわかるAccess2010

これでわかるAccess2010 i 1 1 1 2 2 2 3 4 4 5 6 7 7 9 10 11 12 13 14 15 17 ii CONTENTS 2 19 19 20 23 24 25 25 26 29 29 31 31 33 35 36 36 39 39 41 44 45 46 48 iii 50 50 52 54 55 57 57 59 61 63 64 66 66 67 70 70 73 74 74 77 77

More information

untitled

untitled i ii iii iv v 43 43 vi 43 vii T+1 T+2 1 viii 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 a) ( ) b) ( ) 51

More information

2

2 1 2 3 4 5 6 7 8 9 10 I II III 11 IV 12 V 13 VI VII 14 VIII. 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 _ 33 _ 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 VII 51 52 53 54 55 56 57 58 59

More information

平成18年版 男女共同参画白書

平成18年版 男女共同参画白書 i ii iii iv v vi vii viii ix 3 4 5 6 7 8 9 Column 10 11 12 13 14 15 Column 16 17 18 19 20 21 22 23 24 25 26 Column 27 28 29 30 Column 31 32 33 34 35 36 Column 37 Column 38 39 40 Column 41 42 43 44 45

More information

29 jjencode JavaScript

29 jjencode JavaScript Kochi University of Technology Aca Title jjencode で難読化された JavaScript の検知 Author(s) 中村, 弘亮 Citation Date of 2018-03 issue URL http://hdl.handle.net/10173/1975 Rights Text version author Kochi, JAPAN http://kutarr.lib.kochi-tech.ac.jp/dspa

More information

ron.dvi

ron.dvi 12 Effect of occlusion and perception of shadow in depth perception caused by moving shadow. 1010361 2001 2 5 (Occlusion), i Abstract Effect of occlusion and perception of shadow in depth perception caused

More information

Q-Learning Support-Vector-Machine NIKKEI NET Infoseek MSN 10 1 12 22 170 121 10 9 15 12 22 85 2 85 10 i

Q-Learning Support-Vector-Machine NIKKEI NET Infoseek MSN 10 1 12 22 170 121 10 9 15 12 22 85 2 85 10 i 21 Stock price forecast using text mining 1100323 2010 3 1 Q-Learning Support-Vector-Machine NIKKEI NET Infoseek MSN 10 1 12 22 170 121 10 9 15 12 22 85 2 85 10 i Abstract Stock price forecast using text

More information

エクセルカバー入稿用.indd

エクセルカバー入稿用.indd i 1 1 2 3 5 5 6 7 7 8 9 9 10 11 11 11 12 2 13 13 14 15 15 16 17 17 ii CONTENTS 18 18 21 22 22 24 25 26 27 27 28 29 30 31 32 36 37 40 40 42 43 44 44 46 47 48 iii 48 50 51 52 54 55 59 61 62 64 65 66 67 68

More information

DTN DTN DTN DTN i

DTN DTN DTN DTN i 28 DTN Proposal of the Aggregation Message Ferrying for Evacuee s Data Delivery in DTN Environment 1170302 2017 2 28 DTN DTN DTN DTN i Abstract Proposal of the Aggregation Message Ferrying for Evacuee

More information

2 ( ) i

2 ( ) i 25 Study on Rating System in Multi-player Games with Imperfect Information 1165069 2014 2 28 2 ( ) i ii Abstract Study on Rating System in Multi-player Games with Imperfect Information Shigehiko MORITA

More information

わが国のコモディティ投資信託とETF

わが国のコモディティ投資信託とETF I ETF Nobuyoshi Yamori / 1990 IT 15 55% 1990 1 1 2 1 1 1 2007 5 034 2011 winter / No.390 2 19992007 7 50802008 1 122010 3 8 2011 [2009] 1 20 12.5 8.9 78.6 1290 7.9 4.3 87.8 815 5.2 4.2 90.5 537 21 2 2007

More information

01_.g.r..

01_.g.r.. I II III IV V VI VII VIII IX X XI I II III IV V I I I II II II I I YS-1 I YS-2 I YS-3 I YS-4 I YS-5 I YS-6 I YS-7 II II YS-1 II YS-2 II YS-3 II YS-4 II YS-5 II YS-6 II YS-7 III III YS-1 III YS-2

More information

2 1 ( ) 2 ( ) i

2 1 ( ) 2 ( ) i 21 Perceptual relation bettween shadow, reflectance and luminance under aambiguous illuminations. 1100302 2010 3 1 2 1 ( ) 2 ( ) i Abstract Perceptual relation bettween shadow, reflectance and luminance

More information

ii iii iv CON T E N T S iii iv v Chapter1 Chapter2 Chapter 1 002 1.1 004 1.2 004 1.2.1 007 1.2.2 009 1.3 009 1.3.1 010 1.3.2 012 1.4 012 1.4.1 014 1.4.2 015 1.5 Chapter3 Chapter4 Chapter5 Chapter6 Chapter7

More information

soturon.dvi

soturon.dvi 12 Exploration Method of Various Routes with Genetic Algorithm 1010369 2001 2 5 ( Genetic Algorithm: GA ) GA 2 3 Dijkstra Dijkstra i Abstract Exploration Method of Various Routes with Genetic Algorithm

More information

II

II No. 19 January 19 2013 19 Regionalism at the 19 th National Assembly Elections Focusing on the Yeongnam and Honam Region Yasurou Mori As the biggest issue of contemporary politics at South Korea, there

More information

23 A Comparison of Flick and Ring Document Scrolling in Touch-based Mobile Phones

23 A Comparison of Flick and Ring Document Scrolling in Touch-based Mobile Phones 23 A Comparison of Flick and Ring Document Scrolling in Touch-based Mobile Phones 1120220 2012 3 1 iphone..,. 2 (, ) 3 (,, ),,,.,..,. HCI i Abstract A Comparison of Flick and Ring Document Scrolling in

More information

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow 20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow 1115084 2009 3 5 3.,,,.., HCI(Human Computer Interaction),.,,.,,.,.,,..,. i Abstract Method for Recognizing Expression Considering

More information

活用ガイド (ソフトウェア編)

活用ガイド (ソフトウェア編) (Windows 95 ) ii iii iv NEC Corporation 1999 v P A R T 1 vi P A R T 2 vii P A R T 3 P A R T 4 viii P A R T 5 ix x P A R T 1 2 3 1 1 2 4 1 2 3 4 5 1 1 2 3 4 6 5 6 7 7 1 1 2 8 1 9 1 1 2 3 4 5 6 1 2 3 4

More information

22 1,936, ,115, , , , , , ,

22 1,936, ,115, , , , , , , 21 * 2 3 1 1991 1945 200 60 1944 No. 41 2016 22 1,936,843 1945 1,115,594 1946 647,006 1947 598,507 1 60 2014 501,230 354,503 5 2009 405,571 5 1 2 2009 2014 5 37,285 1 2 1965 10 1975 66 1985 43 10 3 1990

More information

3 5 18 3 5000 1 2 7 8 120 1 9 1954 29 18 12 30 700 4km 1.5 100 50 6 13 5 99 93 34 17 2 2002 04 14 16 6000 12 57 60 1986 55 3 3 3 500 350 4 5 250 18 19 1590 1591 250 100 500 20 800 20 55 3 3 3 18 19 1590

More information

1 1 tf-idf tf-idf i

1 1 tf-idf tf-idf i 14 A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles 1055104 2003 1 31 1 1 tf-idf tf-idf i Abstract A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles

More information

困ったときのQ&A

困ったときのQ&A ii iii iv NEC Corporation 1997 v P A R T 1 vi vii P A R T 2 viii P A R T 3 ix x xi 1P A R T 2 1 3 4 1 5 6 1 7 8 1 9 1 2 3 4 10 1 11 12 1 13 14 1 1 2 15 16 1 2 1 1 2 3 4 5 17 18 1 2 3 1 19 20 1 21 22 1

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

i ii iii iv v vi vii ( ー ー ) ( ) ( ) ( ) ( ) ー ( ) ( ) ー ー ( ) ( ) ( ) ( ) ( ) 13 202 24122783 3622316 (1) (2) (3) (4) 2483 (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) 11 11 2483 13

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

14 CRT Color Constancy in the Conditions of Dierent Cone Adaptation in a CRT Display

14 CRT Color Constancy in the Conditions of Dierent Cone Adaptation in a CRT Display 14 CRT Color Constancy in the Conditions of Dierent Cone Adaptation in a CRT Display 1030281 2003 2 12 CRT [1] CRT. CRT von Kries PC CRT CRT 9300K CRT 6500K CRT CRT 9300K x y S L-2M x y von Kries S L-2M

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

四校_目次~巻頭言.indd

四校_目次~巻頭言.indd 107 25 1 2016 3 Key Words : A 114 67 58.84 Mann-Whitney 6 1. 2. 3. 4. 5. 6. I. 21 4 B 23 11 1 9 8 7 23456 108 25 1 2016 3 78 9 II. III. IV. 1. 24 4 A 114 2. 24 5 6 3. 4. 5. 3 42 5 16 6 22 5 4 4 4 3 6.

More information

4.1 % 7.5 %

4.1 % 7.5 % 2018 (412837) 4.1 % 7.5 % Abstract Recently, various methods for improving computial performance have been proposed. One of these various methods is Multi-core. Multi-core can execute processes in parallel

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

NEXT FUNDS NASDAQ-100 連動型上場投信

NEXT FUNDS NASDAQ-100 連動型上場投信 NEXT FUNDS NASDAQ-100 連動型上場投信 TOPIX Exchange Traded Fund Year Index Value Daily NAV Daily Return Unit NAV -Month Day Return (per Unit) Return Differential Outstanding (i) The TOPIX Index Value and the

More information

21 Effects of background stimuli by changing speed color matching color stimulus

21 Effects of background stimuli by changing speed color matching color stimulus 21 Effects of background stimuli by changing speed color matching color stimulus 1100274 2010 3 1 ,.,,.,.,.,,,,.,, ( FL10N-EDL). ( 10cm, 2cm),,, 3.,,,, 4., ( MSS206-402W2J), ( SDM496)., 1200r/min,1200r/min

More information

Web Web Web Web Web, i

Web Web Web Web Web, i 22 Web Research of a Web search support system based on individual sensitivity 1135117 2011 2 14 Web Web Web Web Web, i Abstract Research of a Web search support system based on individual sensitivity

More information

活用ガイド (ソフトウェア編)

活用ガイド (ソフトウェア編) (Windows 98 ) ii iii iv v NEC Corporation 1999 vi P A R T 1 P A R T 2 vii P A R T 3 viii P A R T 4 ix P A R T 5 x P A R T 1 2 3 1 1 2 4 1 2 3 4 5 1 1 2 3 4 5 6 6 7 7 1 1 2 8 1 9 1 1 2 3 4 5 6 1 2 3 10

More information

24 Depth scaling of binocular stereopsis by observer s own movements

24 Depth scaling of binocular stereopsis by observer s own movements 24 Depth scaling of binocular stereopsis by observer s own movements 1130313 2013 3 1 3D 3D 3D 2 2 i Abstract Depth scaling of binocular stereopsis by observer s own movements It will become more usual

More information

i

i i ii iii iv v vi vii viii ix x xi ( ) 854.3 700.9 10 200 3,126.9 162.3 100.6 18.3 26.5 5.6/s ( ) ( ) 1949 8 12 () () ア イ ウ ) ) () () () () BC () () (

More information

7,, i

7,, i 23 Research of the authentication method on the two dimensional code 1145111 2012 2 13 7,, i Abstract Research of the authentication method on the two dimensional code Karita Koichiro Recently, the two

More information

Kyushu Communication Studies 第2号

Kyushu Communication Studies 第2号 Kyushu Communication Studies. 2004. 2:1-11 2004 How College Students Use and Perceive Pictographs in Cell Phone E-mail Messages IGARASHI Noriko (Niigata University of Health and Welfare) ITOI Emi (Bunkyo

More information

Tsuken Technical Information 1

Tsuken Technical Information 1 March 2004 Vol.6 Tsuken Technical Information 1 Since microprocessors (MPUs) first appeared in the 1970s, they have developed at a remarkable pace, and now found in a huge range of devices that we use

More information

Takens / / 1989/1/1 2009/9/ /1/1 2009/9/ /1/1 2009/9/30,,, i

Takens / / 1989/1/1 2009/9/ /1/1 2009/9/ /1/1 2009/9/30,,, i 21 Market forecast using chaos theory 1100334 2010 3 1 Takens / / 1989/1/1 2009/9/30 1997/1/1 2009/9/30 1999/1/1 2009/9/30,,, i Abstract Market forecast using chaos theory Hiroki Hara The longitudinal

More information

28 Horizontal angle correction using straight line detection in an equirectangular image

28 Horizontal angle correction using straight line detection in an equirectangular image 28 Horizontal angle correction using straight line detection in an equirectangular image 1170283 2017 3 1 2 i Abstract Horizontal angle correction using straight line detection in an equirectangular image

More information

25 Removal of the fricative sounds that occur in the electronic stethoscope

25 Removal of the fricative sounds that occur in the electronic stethoscope 25 Removal of the fricative sounds that occur in the electronic stethoscope 1140311 2014 3 7 ,.,.,.,.,.,.,.,,.,.,.,.,,. i Abstract Removal of the fricative sounds that occur in the electronic stethoscope

More information

,,.,.,,.,.,.,.,,.,..,,,, i

,,.,.,,.,.,.,.,,.,..,,,, i 22 A person recognition using color information 1110372 2011 2 13 ,,.,.,,.,.,.,.,,.,..,,,, i Abstract A person recognition using color information Tatsumo HOJI Recently, for the purpose of collection of

More information

25 D Effects of viewpoints of head mounted wearable 3D display on human task performance

25 D Effects of viewpoints of head mounted wearable 3D display on human task performance 25 D Effects of viewpoints of head mounted wearable 3D display on human task performance 1140322 2014 2 28 D HMD HMD HMD HMD 3D HMD HMD HMD HMD i Abstract Effects of viewpoints of head mounted wearable

More information

活用ガイド (ソフトウェア編)

活用ガイド (ソフトウェア編) ii iii iv NEC Corporation 1998 v vi PA RT 1 vii PA RT 2 viii PA RT 3 PA RT 4 ix P A R T 1 2 3 1 4 5 1 1 2 1 2 3 4 6 1 2 3 4 5 7 1 6 7 8 1 9 1 10 1 2 3 4 5 6 7 8 9 10 11 11 1 12 12 1 13 1 1 14 2 3 4 5 1

More information

P2P Web Proxy P2P Web Proxy P2P P2P Web Proxy P2P Web Proxy Web P2P WebProxy i

P2P Web Proxy P2P Web Proxy P2P P2P Web Proxy P2P Web Proxy Web P2P WebProxy i 27 Verification of the usefulness of the data distribution method by browser cache sharing 1160285 2016 2 26 P2P Web Proxy P2P Web Proxy P2P P2P Web Proxy P2P Web Proxy Web P2P WebProxy i Abstract Verification

More information

パソコン機能ガイド

パソコン機能ガイド PART12 ii iii iv v 1 2 3 4 5 vi vii viii ix P A R T 1 x P A R T 2 xi P A R T 3 xii xiii P A R T 1 2 3 1 4 5 1 6 1 1 2 7 1 2 8 1 9 10 1 11 12 1 13 1 2 3 4 14 1 15 1 2 3 16 4 1 1 2 3 17 18 1 19 20 1 1

More information

パソコン機能ガイド

パソコン機能ガイド PART2 iii ii iv v 1 2 3 4 5 vi vii viii ix P A R T 1 x P A R T 2 xi P A R T 3 xii xiii P A R T 1 2 1 3 4 1 5 6 1 2 1 1 2 7 8 9 1 10 1 11 12 1 13 1 2 3 14 4 1 1 2 3 15 16 1 17 1 18 1 1 2 19 20 1 21 1 22

More information

『戦時経済体制の構想と展開』

『戦時経済体制の構想と展開』 1 15 15 17 29 36 45 47 48 53 53 54 58 60 70 88 95 95 98 102 107 116 v 121 121 123 124 129 132 142 160 163 163 168 174 183 193 198 205 205 208 212 218 232 237 237 240 247 251 vi 256 268 273 289 293 311

More information

Web Stamps 96 KJ Stamps Web Vol 8, No 1, 2004

Web Stamps 96 KJ Stamps Web Vol 8, No 1, 2004 The Journal of the Japan Academy of Nursing Administration and Policies Vol 8, No 1, pp 43 _ 57, 2004 The Literature Review of the Japanese Nurses Job Satisfaction Research Which the Stamps-Ozaki Scale

More information

揃 24 1681 0 20 40 60 80 100 0 21 42 63 84 Lag [hour] Lag [day] 35

揃 24 1681 0 20 40 60 80 100 0 21 42 63 84 Lag [hour] Lag [day] 35 Forecasting Model for Electricity Consumption in Residential House Based on Time Series Analysis * ** *** Shuhei Kondo Nobayasi Masamori Shuichi Hokoi ( 2015 7 3 2015 12 11 ) After the experience of electric

More information