t axing we alth in an unc e r tain wor ld
play

T axing We alth in an Unc e r tain Wor ld Da nie l He me l - PowerPoint PPT Presentation

T axing We alth in an Unc e r tain Wor ld Da nie l He me l Unive rsity o f Chic a g o L a w Sc ho o l Na tio na l T a x Asso c ia tio n 49 th Annua l Spring Sympo sium Ma y 17, 2019 We alth T axation Ob je c tive s 1. Re duc e hig


  1. T axing We alth in an Unc e r tain Wor ld Da nie l He me l Unive rsity o f Chic a g o L a w Sc ho o l Na tio na l T a x Asso c ia tio n 49 th Annua l Spring Sympo sium Ma y 17, 2019

  2. We alth T axation Ob je c tive s 1. Re duc e hig h-e nd we a lth ine q ua lity  na rro w/ e limina te r – g g a p 2. Ra ise re ve nue fo r pro visio n o f pub lic g o o ds/ so c ia l insura nc e

  3. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 1. Annua l we a lth ta x 2. Ma rk-to -ma rke t inc o me ta x 3. Re tro spe c tive c a pita l g a ins ta x

  4. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 1. Annual we alth tax

  5. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 1. Annual we alth tax  Assume r = 5%

  6. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 1. Annual we alth tax  Assume r = 5%  L e vy tax of 1% of ne t wor th on Jan. 1, 2019

  7. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 1. Annual we alth tax  Assume r = 5%  L e vy tax of 1% of ne t wor th on Jan. 1, 2019  Star ting we alth: $100  We alth on Jan. 1, 2019: $99  We alth on De c . 31, 2019: $99 x 1.05 = $103.95  We alth on Jan. 1, 2020: $103.95 x 0.99 ≈ $102.91  We alth on De c . 31, 2020: $102.91 x 1.05 ≈ $108.06

  8. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 2. Mar k- to- mar ke t inc ome tax  Levy tax of 21% on ∆net worth

  9. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 2. Mar k- to- mar ke t inc ome tax  Levy tax of 21% on ∆net worth  Star ting we alth: $100  We alth on De c . 31, 2019: $100 x 1.05 x (1 – 0.21) = $103.95  We alth on De c . 31, 2020: $103.95 x 1.05 x (1 – 0.21) ≈ $108.06

  10. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 3. Re tr ospe c tive c apital gains tax

  11. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 3. Re tr ospe c tive c apital gains tax  Ste p 1 : De te rmine amount r e alize d at time of sale ( A s ) a nd holding pe r iod ( s )  Ste p 2 : Assume g ro wth a t ra te o f r o ve r ho lding pe rio d  Ste p 3 : L e vy ta x suc h tha t individua l is a s we ll o ff a s she wo uld ha ve b e e n if she ha d sta rte d with ) s a nd pa id ma rk-to -ma rke t ta x we a lth o f A s / (1 + r o f t e a c h ye a r

  12. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 3. Re tr ospe c tive c apital gains tax s = (1-((1+r(1-t))/ (1+r)) s )A s mula: T  F or

  13. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 3. Re tr ospe c tive c apital gains tax s = (1-((1+r(1-t))/ (1+r)) s )A s mula: T  F or  What happe ns to a taxpaye r who pur c hase s $100 asse t on Jan. 1, 2019 and winds up with asse t wor th $100 x 1.05 2 = $110.25 on De c . 31, 2020?

  14. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 3. Re tr ospe c tive c apital gains tax s = (1-((1+.05(1-.21))/ (1+.05)) 2 )110.25 mula: T  F or  What happe ns to a taxpaye r who pur c hase s $100 asse t on Jan. 1, 2019 and winds up with asse t wor th $100 x 1.05 2 = $110.25 on De c . 31, 2020?

  15. We alth T axation Ne a r-E q uiva le nt Alte rna tive s 3. Re tr ospe c tive c apital gains tax s = (1-((1+.05(1-.21))/ (1+.05)) 2 )110.25 mula: T  F or  What happe ns to a taxpaye r who pur c hase s $100 asse t on Jan. 1, 2019 and winds up with asse t wor th $100 x 1.05 2 = $110.25 on De c . 31, 2020? s ≈ $2.19  T  We alth on De c . 31, 2020 = $110.25 – $2.19 = $108.06

  16. We alth T axation No ne q uiva le nc e s

  17. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur  T a xe d mo re he a vily unde r a ma rk-to -ma rke t inc o me ta x tha n unde r a n a nnua l we a lth ta x o r a re tro spe c tive c a pita l g a ins ta x

  18. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur  T a xe d mo re he a vily unde r a ma rk-to -ma rke t inc o me ta x tha n unde r a n a nnua l we a lth ta x o r a re tro spe c tive c a pita l g a ins ta x  Nor mative implic ations?

  19. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur  Nor mative implic ations?  Vie w 1: Arg ume nt in fa vo r o f a ma rk-to -ma rke t inc o me ta x b e c a use : a ) hig h-e nd la b o r ine q ua lity is sig nific a nt c o ntrib uto r to o ve ra ll ine q ua lity b ) unde rta xa tio n o f e ntre pre ne uria l la b o r le a ds to a llo c a tive ine ffic ie nc ie s

  20. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur  Nor mative implic ations?  Vie w 2: Arg ume nt in fa vo r o f a nnua l we a lth ta x o r re tro spe c tive c a pita l g a ins ta x b e c a use : a ) hig h-e nd la b o r ine q ua lity is le ss o b je c tio na b le tha n we a lth ine q ua litie s tha t a c c umula te o ve r g e ne ra tio ns b ) unde rta xa tio n o f a b no rma l re turns re wa rds po sitive e xte rna litie s fro m e ntre pre ne uria l la b o r (Jo ne s, 2019)

  21. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur  Nor mative implic ations?  Vie w 3: Ne ithe r a n a rg ume nt in fa vo r o f ma rk- to -ma rke t inc o me ta x no r a n a rg ume nt in fa vo r o f a nnua l we a lth ta x o r re tro spe c tive c a pita l g a ins ta x b e c a use we ha ve lo ts o f o the r to o ls to ta x a b no rma l re turns (e .g ., c o nsumptio n ta x)

  22. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur  Nor mative implic ations?  Vie w 3: Ne ithe r a n a rg ume nt in fa vo r o f ma rk- to -ma rke t inc o me ta x no r a n a rg ume nt in fa vo r o f a nnua l we a lth ta x o r re tro spe c tive c a pita l g a ins ta x b e c a use we ha ve lo ts o f o the r to o ls to ta x a b no rma l re turns (e .g ., c o nsumptio n ta x)  Note : Also po ssib le to inte g ra te ta x o n a b no rma l re turns into re tro spe c tive c a pita l g a ins ta x (Aue rb a c h & Bra dfo rd, 2004)

  23. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk

  24. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk  Domar and Musgr ave (1944): I nc o me ta x with full lo ss o ffse ts impo se s no b urde n o n priva te risk- ta king if ta xpa ye rs c a n b o rro w a t risk-fre e ra te a nd risky a sse ts a re unlimite d in supply

  25. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk  Kaplow (1994): Ab se nt a djustme nts, we a lth a nd inc o me ta xe s will diffe r in the ir implic a tio ns fo r the g o ve rnme nt’ s inve stme nt po rtfo lio

  26. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk  Nor mative implic ations?

  27. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk  Nor mative implic ations?  Vie w 1: Risk shift fro m priva te to pub lic se c to rs is de sira b le fo r mic ro e c o no mic (insura nc e ) a nd ma c ro e c o no mic (c o unte rc yc lic a l) re a so ns

  28. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk  Nor mative implic ations?  Vie w 2: Go ve rnme nt c a n re pro duc e sa me risk a llo c a tio n unde r a n a nnua l we a lth ta x o r a ma rk-to -ma rke t inc o me ta x thro ug h: a ) e xplic it insura nc e b ) a sse t purc ha se s/ fina nc ia l de riva tive s

  29. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk 3. Maximum r ate

  30. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk 3. Maximum r ate  E q uiva le nc e ho lds o nly if t we a lth < r

  31. 30-Ye a r T re a sury Yie ld ( Nominal )

  32. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk 3. Maximum r ate  Nor mative implic ations?

  33. We alth T axation No ne q uiva le nc e s ns (e .g ., e ntre pre ne uria l la b o r) 1. Abnor mal r e tur 2. Alloc ation of r isk 3. Maximum r ate  Nor mative implic ations?  Annua l we a lth ta x >>> 2% c a nno t b e re plic a te d via ma rk-to -ma rke t inc o me ta x o r re tro spe c tive c a pita l g a ins ta x (witho ut he lp fro m the F e d)

  34. T hre e T ype s o f Unc e rta inty

  35. T hre e T ype s o f Unc e rta inty 1. Valuation unc e r tainty 2. Politic al unc e r tainty 3. Constitutional unc e r tainty

  36. T hre e T ype s o f Unc e rta inty tainty: T a x a utho rity unc e rta in a s to 1. Valuation unc e r “true ” va lue o f a sse t  symme tr ic or asymme tr ic

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend