
å奿 ªã¡ã€ã³ã®æè³å®¶ã¯ããã¢ãã䜿ãã¹ã?ããã¢ãã»æè³ä¿¡èšã»ã€ã³ããã¯ã¹æè³ã®ãªã¹ã¯ãšãªã¿ãŒã³ãæ¯èŒã2026幎10æçã
å奿 ªãã¡ã€ã³ã«ãæè³ä¿¡èšããµãã«ããŠéçšããŠãããšããµãšæ°ã«ãªãã®ããããã¢ã(ããã¢ããã€ã¶ãŒ)ãã§ãã
ãå
šéšããŸããã§éçšã§ãããªã䟿å©ãããã§ãææ°æã¯é«ããªãã®ã?ã
ãã€ã³ããã¯ã¹æè³ãšæ¯ã¹ãŠãæ¬åœã«åŸãªã®ã?ã
ãã®èšäºã§ã¯ãããã¢ãã»æè³ä¿¡èšã»ã€ã³ããã¯ã¹æè³ã®ãªã¹ã¯ãšãªã¿ãŒã³ããå ¬éããŒã¿ãããšã«å³è¡šã§æŽçããŸããããã®ããã§ã䜿ã£ãã»ããè¯ãã®ããã䜿ããªãã©ããè¯ãã®ãããŸã§çµè«ãåºããŸãã
å ã«çµè«
ã³ã¹ãé¢ã§ã¯ã€ã³ããã¯ã¹æä¿¡ãå§åçã«æå©ã ãªã«ã«ã³(eMAXIS Slim å šäžçæ ªåŒ)ã®ä¿¡èšå ±é ¬ã¯å¹Ž0.05775%以å ãããã¢ãã¯å¹ŽçŽ0.7ã1.1%ã§ãçŽ12ã19åã®å·®ããããŸãã
ããã¢ãã®äŸ¡å€ã¯ããªã¿ãŒã³ãã§ã¯ãªããæéã®åæžãã è³ç£é åã®æ±ºå®ã»ç©ç«ã»ãªãã©ã³ã¹ãèªååã§ããããšã«å¯Ÿããå¯ŸäŸ¡ãææ°æã§ãã
å奿 ªã¡ã€ã³ã»æä¿¡ãµãã®äººãããã¢ããå¿ é ãšããçç±ã¯èãã èªåã§æä¿¡ãéžã¹ãŠããªãã©ã³ã¹ãèŠã«ãªããªããªããäœã³ã¹ãã®ã€ã³ããã¯ã¹æä¿¡ã§è¶³ããŸãã
ããã¢ãã䜿ããªãããŸãå°é¡ããã 1瀟éžã¶ãªããèŠæš¡ã»NISA察å¿ã»å®çžŸé瀺ã®ãã©ã³ã¹ãè¯ããŠã§ã«ã¹ãããæåã§ãã

åºæ:åç€Ÿå ¬åŒãµã€ãã»ç®è«èŠæžç(åèæç®[1][4][5][6][7])
1. ããã¢ããšã¯äœã
ããã¢ãã¯ãããã€ãã®è³ªåã«çããã ãã§ããªã¹ã¯èš±å®¹åºŠã«åã£ãè³ç£é åãæ±ºããéçšãŸã§èªåã§è¡ããµãŒãã¹ã§ãã倧ãã2ã¿ã€ããããŸãã
æè³äžä»»å:è³ç£é åã®æ±ºå®ã»å£²è²·ã»ãªãã©ã³ã¹ãŸã§å šãŠä»»ãã(ãŠã§ã«ã¹ãããTHEOãæ¥œã©ãããROBOPROãªã©)
å©èšå:ããŒããã©ãªãªã®ææ¡ã ããåãã売買ã¯èªåã§è¡ã(æŸäºèšŒåžã®æä¿¡å·¥æ¿ãªã©)
ãã®èšäºã§äž»ã«æ±ãã®ã¯ãææ°æã倧ããªè«ç¹ã«ãªãæè³äžä»»åã§ãã
2. 3ã€ã®éžæè¢ããã£ãšæ¯èŒ
ããã¢ããã¢ã¯ãã£ãæä¿¡ãã€ã³ããã¯ã¹æä¿¡ã䞊ã¹ããšãéãã¯æ¬¡ã®ãšããã§ãã
æè³ä¿¡èšå šäœã®ä¿¡èšå ±é ¬ã¯0.0938%ãã3.41%çšåºŠãŸã§å¹ ããããã¢ã¯ãã£ãåããã©ã³ã¹åã¯é«ãåŸåããããŸã[11]ãããã¢ã(æè³äžä»»å)ã¯0.7ã1.1%çšåºŠãç®å®ã§ã[11]ã
3. ã³ã¹ã:1%ã®å·®ã¯20幎ã§å¹ããŠãã
åç€Ÿã®ææ°æ
ãŠã§ã«ã¹ããã®ææ°æã¯é ããè³ç£ã®å¹Žç1%(çšèŸŒ1.1%)ã§ã3,000äžåãè¶ ããéšåã¯å¹Žç0.55%ã§ã[1]ãTHEOãæå€§å¹Ž1.10%(3,000äžåè¶ ã¯0.55%)[4]ãROBOPROã幎1.1%[6]ã§ãäž»èŠ3瀟ã¯ã»ãŒåæ°Žæºã§ããæ¥œã©ããã®åºå®å ±é ¬åã¯æå€§å¹Ž0.715%(çšèŸŒ)ã§ãããäœãã§ã[5]ã
ããã«å ããŠãããã¢ãã§ã¯çµã¿å ¥ãETFãæè³ä¿¡èšã®äžã§ãå¥éã³ã¹ããå·®ãåŒãããŸãããŠã§ã«ã¹ããã®å ŽåãETFä¿æã³ã¹ãã¯å¹Ž0.05ã0.12%çšåºŠã§ã[1]ã
äžæ¹ããªã«ã«ã³ã®ä¿¡èšå ±é ¬ã¯å¹Ž0.05775%以å ã§ãããã®ã»ããæ ªåŒã®è²žåºåå ¥(å貞æ)ã®äžéšãå ±é ¬ãšããŠå ãããŸã[7]ã
NISAãªãææ°æãäžããããã¢ãããã
ãŠã§ã«ã¹ããã¯æ°NISAã§ã®å©çšã«å¯Ÿå¿ããŠãããã€ã¿ããŠæè³æ ã®ææ°æã¯0%ãæé·æè³æ ã¯æå€§1.1%ã§ã[1]ãèªåç©ç«ã®ã¿ã§å ¥éããå Žåã®è©Šç®ã§ã¯ãNISAå£åº§å šäœã®ææ°æã¯å¹Žç0.693ã0.733%çšåºŠã«ãªããŸã[2]ã
ãã ããæ°NISAã®æ ã«ã¯éãããããŸãã幎éæè³æ ã¯ã€ã¿ããŠæè³æ 120äžåã»æé·æè³æ 240äžåãçæ¶¯ã®é課çšä¿æé床é¡ã¯1,800äžå(ãã¡æé·æè³æ ã¯1,200äžå)ã§ã[12]ãå奿 ªãæé·æè³æ ã§è²·ã£ãŠãã人ã¯ãããã¢ããšå奿 ªã§NISAæ ãåãåãç¹ãèããå¿ èŠããããŸãã
20幎ç©ç«ãããšã©ãã ãå·®ãåºãã
ææ°æã®å·®ã宿ãããããç°¡åãªè©Šç®ãããŸãããæ¡ä»¶ã¯æ¬¡ã®ãšããã§ã(çè ã«ãã詊ç®)ã
æ¯æ5äžåã20幎éç©ç«(å æ¬1,200äžå)
éçšåã®ãªã¿ãŒã³ã¯å¹Ž5%(ä»®å®ãå šãã¿ãŒã³å ±é)
ã³ã¹ãã¯ãã€ã³ããã¯ã¹æä¿¡0.058%ãããã¢ã(NISAèªåç©ç«)0.80%ãããã¢ã(éåžžå£åº§)1.19%(ææ°æ1.1%+ETFä¿æã³ã¹ãçŽ0.09%)
çšéã»çºæ¿ã¯èæ ®ããªã

詊ç®çµæã¯æ¬¡ã®ãšããã§ãã
ãã®è©Šç®ã¯ã³ã¹ãã ãã®å·®ãèŠããã®ã§ããããã¢ãã¯åµåžãéãªã©ãçµã¿å ¥ãããããå®éã®ãªã¿ãŒã³ã¯æ ªåŒ100%ã®ã€ã³ããã¯ã¹æä¿¡ãšã¯ç°ãªããŸãããææ°æã®å·®ã¯ãé·æã§ã¯ç¡èŠã§ããªã倧ããã«ãªãããšããç¹ã確èªããããã®æ°åã§ãã
4. ãªã¹ã¯:ã€ã³ããã¯ã¹æè³ã§ã倧ããäžãã
å šäžçæ ªã§ã倧ããªäžèœã¯é¿ããããªã
å šäžçæ ªåŒã«é£åããMSCI ACWIã¯ã2007幎10æãã2009幎3æã«ãããŠæå€§58.38%äžèœããŸãã[8]ã幎éãªã¿ãŒã³ã§èŠãŠãããã«ããŒã¹ã§2008幎ã¯-34.9%ã2022幎ã¯-18.4%ã§ãã[9]ã

åºæ:iShares MSCI ACWI ETF(ãã«å»ºãŠãåé éåæè³)ã®å¹Žæ¬¡ãªã¿ãŒã³[9]ãå建ãŠã»ææ°ææ§é€åŸã®æ°åãšã¯ç°ãªããŸãã
2008幎ãã2025幎ã®18幎éã§ããã€ãã¹ã®å¹Žã¯5å(2008ã2011ã2015ã2018ã2022幎)ãããŸãããMSCI ACWIã®å¹Žçãªã¹ã¯(æšæºåå·®)ã¯ãçŽè¿10幎ã§14.71%ã§ã[8]ã
ã€ãŸããã€ã³ããã¯ã¹æä¿¡ã¯ãææ°æãå®ããã®ã§ãã£ãŠãããªã¹ã¯ãäœããããã§ã¯ãããŸãããæ ªåŒ100%ã§æã€ãªãã倧ããªäžèœãåãå ¥ããèŠæãåæã«ãªããŸãã
ããã¢ãã¯ãªã¹ã¯èš±å®¹åºŠã§äžèœå¹ ã調æŽã§ãã
ããã¢ãã¯ãæ ªåŒã®ã»ãã«åµåžã»éã»äžåç£ãªã©ãçµã¿åããããªã¹ã¯èš±å®¹åºŠã«å¿ããŠé åãå€ããŸãããªã¹ã¯èš±å®¹åºŠãé«ãã»ã©ãªã¿ãŒã³ãå€åã倧ãããªããŸãã
ãŠã§ã«ã¹ããã®éçšã«é£åããæè³ä¿¡èšããŠã§ã«ã¹ããÃRã(åã1.1%ã®ä¿¡èšå ±é ¬[10])ã§èŠããšãçžå Žãäžãã2025幎1ã3ææãšããã®åŸã®æçžŸã«ã¯æ¬¡ã®ãããªå·®ããããŸããã
åºæ:ãŠã§ã«ã¹ã¢ããã€ã¶ãŒ(ããŒã¿ã«ãªã¿ãŒã³ãçŽè¿1幎ã¯2026幎6ææ«æç¹)[10]ã
äžèœå±é¢ã§ã¯ãªã¹ã¯èš±å®¹åºŠãäœãã»ã©èœã¡èŸŒã¿ãå°ãããäžæå±é¢ã§ã¯é«ãã»ã©äŒžã³ãŠããŸããããã¢ãã®åŒ·ã¿ã¯ããã®ãªã¹ã¯èª¿æŽãèªåã§èããã«æžãç¹ã§ãã
ã¢ã¯ãã£ãæä¿¡ã¯ãéžã³æ¹ãããªã¹ã¯ã«ãªã
ã¢ã¯ãã£ãæä¿¡ã¯ãææ°ãäžåãããšãç®æãäžæ¹ãææ°ã«è² ãããªã¹ã¯ããããŸããS&Pã®èª¿æ»(SPIVAãžã£ãã³ã2025幎æ«ç)ã§ã¯ã2025幎ã¯5ã€ã®ã«ããŽãªãŒã§80%以äžã®ã¢ã¯ãã£ãéçšãã¡ã³ãããã³ãããŒã¯ãäžåããŸããããŸãã15幎éã§èŠããšãå šã«ããŽãªãŒã§å€§å€æ°ã®ã¢ã¯ãã£ãéçšãã¡ã³ãããã³ãããŒã¯ãäžåã£ãŠããŸã[13]ã
5. ãªã¿ãŒã³:çŽè¿1幎ã¯ããã¢ãã奜調
çŽè¿1å¹Žã®æçžŸãæ¯ã¹ããšãããã¢ãã奜調ã§ããã

åºæ:EXIDEA(2026幎10æçãå šã³ãŒã¹å¹³å)[14]ããããã¯ã¹èšŒåžãã¡ã³ãæ å ±(2026幎9ææ«)[7]ãç®åºæç¹ã»æ¹æ³ãç°ãªããããå³å¯ãªæ¯èŒã§ã¯ãããŸããã
ãªã«ã«ã³ã¯çŽè¿1幎ã§+24.27%ã3幎(幎ç)ã§+24.02%ã5幎(幎ç)ã§+19.44%ã§ãã(2026幎9ææ«ãããããéå»ã®å®çžŸ)[7]ããŠã§ã«ã¹ãã(å šã³ãŒã¹å¹³å)ã¯çŽè¿1幎ã§+26.33%ã§ãã[14]ã
ãã ãããã®å·®ã ãã§ãããã¢ãã®ã»ããåªããŠããããšã¯èšããŸãããçç±ã¯æ¬¡ã®3ç¹ã§ãã
æ ªåŒ100%ã®ãªã«ã«ã³ãšãåµåžã»éãªã©ãå«ãããã¢ãã§ã¯ãé åãç°ãªã
æ¯èŒã®åºæºæ¥ãç®åºæ¹æ³ãå®å šã«ã¯äžèŽããŠããªã
1幎ãšããæéã¯çããé·æã®åªå£ã¯å€æã§ããªã
ãŠã§ã«ã¹ããã®å ¬åŒããŒã¿ã§ã¯ã2016幎1æãã2026幎8æãŸã§ã®çŽ10幎ã®ç©ç«(ãªã¹ã¯èš±å®¹åºŠ3ãææ°ææ§é€åŸ)ã§ãè³ç£ã¯çޝç©å æ¬ã®çŽ2.4åã«ãªããŸããããŸãããå©çš2幎ç®ã§ãã客æ§ã®9å²ä»¥äžããã©ã¹ã®ãªã¿ãŒã³ãšããŠããŸã[2]ããã ããããã¯çžå Žãè¯ãã£ãæéã®å®çžŸã§ãå°æ¥ãä¿èšŒãããã®ã§ã¯ãããŸããã
6. ããã¢ãã®ã¡ãªããã»ãã¡ãªãã
ã¡ãªãã
質åã«çããã ãã§å§ããããç©ç«ã»ãªãã©ã³ã¹ãŸã§èªå
æ ªåŒã ãã§ãªãåµåžã»éã»äžåç£ã«ã忣ã§ãã
äžéšã®ããã¢ãã¯ã課çšå£åº§ã§çšè² æ ãæããæ©èœ(ãŠã§ã«ã¹ããã®DeTAXãªã©)ãæã€(çšè² æ ã®ç¹°ãå»¶ã¹ãä¿èšŒãããã®ã§ã¯ãªã)[1]
顧客è³ç£ã¯äŒç€Ÿã®è³ç£ãšåå¥ããŠä¿ç®¡ããã(ãŠã§ã«ã¹ããã®å Žå)[3]
ãã¡ãªãã
ææ°æã幎çŽ0.7ã1.1%ãšãã€ã³ããã¯ã¹æä¿¡ã®åæ°å
å æ¬ä¿èšŒã¯ãªããçžå Žäžèœæã¯è©äŸ¡é¡ãæžã
è³ç£é åã¯ããã¢ãä»»ãã§ãèªåã§ã¯èª¿æŽãã«ãã
NISAã«å¯Ÿå¿ããŠããªããµãŒãã¹ããã(楜ã©ãããROBOPROãªã©)[19][20]
7. ããããã®ããã¢ãæ¯èŒ
äž»èŠ4ç€Ÿãæ¯èŒããŸããã
泚:çŽè¿1幎ã¯å šã³ãŒã¹å¹³å(EXIDEAã2026幎10æç)[14]ãææ°æã»æäœæè³é¡ã»NISA察å¿ã¯å€æŽãããå ŽåããããTHEOã®æäœæè³é¡ã¯æ å ±æºã«ããç°ãªããŸããç³èŸŒåã«å¿ ãå ¬åŒãµã€ãã§ç¢ºèªããŠãã ãããTHEOã®NISA察å¿ã¯ãTHEOæä¿¡ãNISAå£åº§ã§è³Œå ¥ããŠé£æºããæ¹åŒã§ã[18]ãæ¥œã©ãããšROBOPROã¯NISAé察å¿ã§ã[19][20]ã
ãŠã§ã«ã¹ãã:ç·ååã§ç¬¬äžåè£
é ããè³ç£ã¯2.1å åè¶ ãéçšè ã¯51äžäººãè¶ ããåœå æå€§æã§ã[3]ãNISAã«å¯Ÿå¿ããéçšå®çžŸãå©çšå¹Žæ°ããšã®æçç¶æ³ãé瀺ããŠããŸã[2]ãææ°æã¯é«ãã§ãããNISAã®èªåç©ç«ãé·æå²(æå€§å¹Žç0.90%ãçšèŸŒ0.99%)ã§äžããããŸã[1]ã
楜ã©ãã:ææ°æãæãããæ¥œå€©èšŒåžãŠãŒã¶ãŒåã
åºå®å ±é ¬åã®ææ°æã¯æå€§0.715%ã§ãäž»èŠ3瀟ããäœãã§ã[5]ãåžå Žãæ¥èœããéã«æ ªåŒã®é åãèªåã§æžãããäžèœã·ã§ãã¯è»œæžæ©èœãããããŸã[16]ãäžæ¹ãNISAã«ã¯å¯Ÿå¿ããŠããã[20]ãçŽè¿1幎ã®å®çžŸã¯äž»èŠããã¢ãã®äžã§äœãã§ãã[14]ã
THEO+docomo:ã«ã¹ã¿ãã€ãºæ§ãšdãã€ã³ã
现ããªã³ãŒã¹èšå®ãšdãã€ã³ã飿ºãç¹åŸŽã§ãçŽ30çš®é¡ã®ETFã«åæ£æè³ããŸã[15]ãææ°æã¯æå€§1.10%ã§ããŠã§ã«ã¹ãããšåæ°Žæºã§ã[4]ã
ROBOPRO:AIäºæž¬ã§é åãå€ããã人åã
AIã®äºæž¬ã«ããšã¥ããŠè³ç£é åãå€ããã¿ã€ãã§ãæäœæè³é¡ã¯10äžåã§ã[19]ãéå¶äŒç€Ÿèªèº«ããå瀟ã®å¥ãµãŒãã¹ãšæ¯ã¹ãŠè©äŸ¡é¡ã®å€åã倧ãããªãå¯èœæ§ã瀺ããŠãã[6]ãNISAã«ã察å¿ããŠããŸãã[19]ãåããŠã®ããã¢ããšããŠã¯ããªã¹ã¯ã®é«ãéžæè¢ã§ãã
è£è¶³:èªåã§éçšãããªããæä¿¡å·¥æ¿ããšããéžæè¢
æŸäºèšŒåžã®æä¿¡å·¥æ¿ã¯å©èšåã§ãææ°æã¯å¹Ž0.15ã0.16%çšåºŠã§ã[17]ãéçšã¯èªåã§è¡ããŸãããé åã®èšºæã ãåããã人ã«ã¯äœã³ã¹ããªéžæè¢ã§ãã
8. çµè«:å奿 ªã¡ã€ã³ã®äººã¯ãããã¢ãã䜿ãã¹ãã
倿ã®è»žã¯ã**ãæéãçãããã«ã幎çŽ1%ãæã䟡å€ããããã**ã§ãã
å奿 ªãã¡ã€ã³ã«ããŠãã人ã¯ããã§ã«èªåã§éæãéžã³ãçžå ŽãèŠãŠå€æããç¿æ £ããããŸãããã®ãããããã¢ããäž»åã«ããå¿ èŠæ§ã¯é«ããããŸããããµãã®æä¿¡éšåã¯ããªã«ã«ã³ãªã©ã®äœã³ã¹ããªã€ã³ããã¯ã¹æä¿¡ã§ååã§ãã
äžæ¹ã§ã次ã®ãããªå Žåã¯ãããã¢ããå°é¡ã§è©Šã䟡å€ããããŸãã
å奿 ªãæ ªåŒã«åã£ãŠãããããåµåžãéãå«ãã忣ãæéãªãå ããã
å奿 ªã®ç®¡çã«æéãåãããæä¿¡éšåã¯å®å šã«æŸçœ®ããã
ãªãã©ã³ã¹ãææ ã§å éãããŠããŸã
ãã®å Žåããææ°æã幎çŽ1%ãããããšãåæã«ããŸãã¯å°é¡ããå§ããã®ãçŸå®çã§ãã
泚æäºé
ãã®èšäºã¯æ å ±æäŸãç®çãšãããã®ã§ãç¹å®ã®ååã®è³Œå ¥ãå§ãããã®ã§ã¯ãããŸãããçè ã¯æè³å©èšè ã§ã¯ãããŸãããæ°å€ã¯2026幎10ææç¹ã§ç¢ºèªãããã®ã§ãéå»ã®å®çžŸã¯å°æ¥ã®ææãä¿èšŒããŸãããæçµçãªå€æã¯ãåç€Ÿã®ææ°ã®å ¬åŒæ å ±ã確èªãããèªèº«ã®è²¬ä»»ã§è¡ã£ãŠãã ããã
ãã¡ã¯ããã§ãã¯
æ¬æã®æ°å€ããå ¬åŒæ å ±ãªã©ãšç §åããŸããã
äžæ¬¡æ å ±ã§ç¢ºèªã§ãããã®:ãŠã§ã«ã¹ããã®ææ°æã»NISAæã®ææ°æã»ETFä¿æã³ã¹ãã»éçšããã©ãŒãã³ã¹ã»é ããè³ç£[1][2][3]ãTHEOã®ææ°æ[4]ãROBOPROã®ææ°æãšãªã¹ã¯èšèŒ[6]ããªã«ã«ã³ã®ä¿¡èšå ±é ¬ã»ãªã¿ãŒã³[7]ãMSCI ACWIã®ãªã¹ã¯ææš[8]ãSPIVAã®èª¿æ»çµæ[13]ãæ°NISAã®æ [12]
äºæ¬¡æ å ±(æ¯èŒãµã€ãç)ã«äŸæ ãããã®:çŽè¿1幎ã®ããã¢ãåç€Ÿã®æ¯èŒ[14]ãTHEOã®çµå ¥ETFæ°ãšæäœæè³é¡[15]ãROBOPROã»æ¥œã©ããã®NISA察å¿ãšæäœæè³é¡[19][20]ãæä¿¡å·¥æ¿ã®ææ°æ[17]ãæè³ä¿¡èšã®ä¿¡èšå ±é ¬ã®å¹ [11]ããããã¯åèå€ãšããŠæ±ããææ°ã®å ¬åŒæ å ±ã®ç¢ºèªãããããããŸã
泚èšãå¿ èŠãªãã®:楜ã©ããã®ææ°æã¯ã楜倩蚌åžã®å ¬åŒæ¡å (2020幎3æä»)ã®æå€§0.715%ãæ¡çšããŸãã[5]ãææ°ã®æçã¯å ¬åŒãµã€ãã§ç¢ºèªããŠãã ãããå³2ã®è©Šç®ã¯çè ã®èšç®ã§ãéçšåãªã¿ãŒã³å¹Ž5%ã¯ä»®å®ã§ããå³3ã¯ãã«å»ºãŠETFã®å¹Žæ¬¡ãªã¿ãŒã³ã®ãããå建ãŠãšã¯ç°ãªããŸã
åèæç®
ãŠã§ã«ã¹ãããææ°æã https://www.wealthnavi.com/fee
ãŠã§ã«ã¹ãããéçšããã©ãŒãã³ã¹ã https://www.wealthnavi.com/performance
ãŠã§ã«ã¹ããããããããŒãžã(é ããè³ç£ã»éçšè æ°ã»åå¥ç®¡ç) https://www.wealthnavi.com/
SMBCæ¥è蚌åžãTHEO(ããã¢ããã€ã¶ãŒ)ææ°æã https://www.smbcnikko.co.jp/service/fee/robo_adviser/
楜倩蚌åžã楜ã©ããã®ææ°æã«é¢ãããç¥ãã(2020幎3æ11æ¥)ã https://www.rakuten-sec.co.jp/web/info/info20200311-01.html
FOLIOãROBOPRO éèŠæ å ±ã·ãŒãã https://folio-sec.com/pdf/important_sheet_robopro.pdf
ãããã¯ã¹èšŒåžãeMAXIS Slim å šäžçæ ªåŒ(ãªãŒã«ã»ã«ã³ããªãŒ)ã https://fund.monex.co.jp/detail-ideco/0331418A/1000
MSCIãMSCI ACWI ãã¡ã¯ãã·ãŒã(ããããªã¿ãŒã³)ã https://www.msci.com/documents/10199/255599/msci-acwi-net.pdf
Total Real ReturnsãACWI(iShares MSCI ACWI ETF)ã https://totalrealreturns.com/n/ACWI
ãŠã§ã«ã¹ã¢ããã€ã¶ãŒããŠã§ã«ã¹ããÃR(ãªã¹ã¯èš±å®¹åºŠ1ã5)ã https://apl.wealthadvisor.jp/webasp/yahoo-fund/fund/rtn/rtn_9I314244.html
ãªãŒã«ã¢ããŠããããã¢ããã€ã¶ãŒæè³ãšã¯?ã¡ãªããã»ãã¡ãªããã解説ã https://www.all-senmonka.jp/moneyizm/76529
éèåºãæ°ããNISAã https://www.fsa.go.jp/policy/nisa2/about/nisa2024/index.html
S&P Dow Jones IndicesãSPIVAæ¥æ¬ã¹ã³ã¢ã«ãŒã(2025幎æ«ç)ã https://www.spglobal.com/spdji/jp/spiva/article/spiva-japan-year-end-2025/
EXIDEAãããã¢ããã€ã¶ãŒã®ææ°éçšå®çžŸãæ¯èŒ(2026幎10æ)ã https://exidea.co.jp/blog/money/internet-securities/roboadviser-performance/
æè³ã®åºç€ãTHEOã®è©å€ã https://www.toushikiso.com/blog/robo/theo-reputation.html
楜倩蚌åžã楜ã©ãã éèŠæ å ±ã·ãŒãã https://stgwrap.rakuten-sec.co.jp/operation/course/important_sheet/pdf/1000500.pdf
æè³ã®åºç€ãããã¢ããã€ã¶ãŒæ¯èŒ(æä¿¡å·¥æ¿ã»ã)ã https://www.toushikiso.com/blog/robo/robo-advisor.html
SMBCæ¥è蚌åžãTHEOã®NISAèª¿æŽæ©èœã https://www.smbcnikko.co.jp/products/robo_adviser/nisa
EXIDEAãããã¢ããã€ã¶ãŒããããæ¯èŒã https://exidea.co.jp/blog/money/internet-securities/robo-advisor-recommend/
EXIDEAãæ¥œã©ããã®è©å€ã»ç¹åŸŽã https://exidea.co.jp/blog/money/internet-securities/rakurap/
#ããã¢ã #ããã¢ããã€ã¶ãŒ #ãŠã§ã«ã¹ãã #THEO #楜ã©ãã #ROBOPRO #æè³ä¿¡èš #ã€ã³ããã¯ã¹æè³ #ãªã«ã«ã³ #æ°NISA #è³ç£éçš #å奿 ª #æè³åå¿è #ææ°ææ¯èŒ