logging in or signing up INVESTMENT STRATEGY CASE amitgurus Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 166 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 03, 2011 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript INVESTMENT STRATEGY CASE: INVESTMENT STRATEGY CASE AMIT KUMAR (PGDMA-1001)J.D.WILLIAM, INC.: J.D.WILLIAM, INC. Investment advisory firm Managing $120 million funds for its clients ASSET ALLOCATION MODEL Growth stock fund(GF) Income fund(IF) Money market fund(MMF) Amount Invested 20-40% of Total Portfolio 20-50% of Total Portfolio >=(at least) 30% of Total Portfolio RISK 0.10 0.07 0.01 Annual YIELD 18% of GF (0.18GF) 12.5% of IF (0.125IF) 7.5% of MMF (0.075MMF)Slide 3: Overall portfolio risk index=weighted avg. of the risk rating for the 3 funds. R= W1= , R1=0.1 W2 = , R2=0.07 W3 = , R3=0.01 Contracted with a client, having $ 8,00,000 to invest Problem- T o allocate $8lakh among the growth, income &Money market funds. To develop an L.P model that provide maximum yield for the portfolio. To develop a managerial report on the L.P model.Slide 4: Decision Variables- GF, IF, MMF Objective function- To maximize the total yield for the portfolio Max 0.18GF + 0.125IF + 0.075MMF Maximum Risk index given=0.05 Model Formulation Constraints- 1GF + 1IF + 1MMF <= 800,000 ($ amount available to invest) GF >= 0.2* (GF+IF+MMF) 0.80GF -0.20IF -0.20MMF >= 0 (Min growth fund) GF <= 0.4* (GF+IF+MMF) 0.60GF -0.40IF -0.40MMF <= 0 (Max growth fund) IF >= 0.2* (GF+IF+MMF) -0.20GF +0.80IF -0.20MMF > 0 (Min income fund) IF <= 0.5* (GF+IF+MMF) -0.50&F +0.50IF -0.50MMF <= 0 (Max income fund) MMF >= 0.3* (GF+IF+MMF) -0.30GF -0.30IF +0.70MMF >= 0 (Min money market fund) 0.1*GF+0.07*IF+0.01*MMF <= 0.05* (GF+IF+MMF) 0.05GF +0.021F -0.04MMF <= 0 (Max risk) ,GF,IF,MMF >= 0Slide 5: Q1.) solution- Fund Allocation- GF IF MMF SUM TOTAL $248888.8889 $160000 $391111.1111 $800000 Yield = $94133 Yield (in %) = = 11.8 %.Slide 7: Q2) solution- if the client's Risk index were increased by 0.05%,(from 0.05 to 0.055), the annual yield on investment would increase by $4,667 , from the original optimal estimation of $94,133 to a new projection of $98,800 . Fund Allocation- GF IF MMF SUMTOTAL $293333.33 $160000 $346666.67 $800000 Annual yield in (%) = = 12.35 %Slide 9: Q3) solution- Growth fund revised downward to 14% Limit for Growth fund= 0.18 to (“0.18 - 0.03”) = 0.15 (N.B : 0.03 is allowable decrease for GF) Since 0.16 is in the objective coefficient range for the growth fund return, there would be no change in allocation . However, the return would decrease by (0.02)*($248,889) or ($94133 - $89155) = $4978 Growth fund revised downward to 14% A decrease to 0.14 is outside the objective function coefficient range . So, we have to resolve the problem . “MAX 0.14GF +0.125IF +0.075MMF” Change in yield = ($94133 - $85066) = $9067Slide 12: Q4) solution- Since the current optimal solution has more invested in the growth fund than the income fund. So, for adding this requirement we have to resolve the problem with a new constraint . Max 0.18GF + 0.125IF +0.075MMF Maximum Risk index given=0.05 Constraints 1GF + 1IF + 1MMF <= 800,000 0.80GF -0.20IF -0.20MMF >= 0 0.60GF -0.40IF -0.40MMF <= 0 -0.20GF +0.80IF -0.20MMF > 0 -0.50&F +0.50IF -0.50MMF <= 0 -0.30GF -0.30IF +0.70MMF >= 0 0.05GF +0.021F -0.04MMF <= 0 1GF-1IF <= 0Slide 13: the value of the solution has decreased from $94,133 to $93,067. This is only a decrease of 0.2% in yield . Since the yield decrease is so small, We may prefer this portfolio.Slide 14: Q5.) solution- we would recommend the use of this model only when the clients meet the given criteria, i.e., similar objective functions and constraints . since, they are financial investment advisor working for the individual investors according to their need. So , we would not recommend the use of this asset allocation model as a general guide to financial investment. EXCEL SOLUTION OF THE CASESlide 15: EXCEL SHEET OF THE CASE Do right click and open worksheet object.then whole excel will open in separate. COMPLETE SHEET You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
INVESTMENT STRATEGY CASE amitgurus Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 166 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 03, 2011 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript INVESTMENT STRATEGY CASE: INVESTMENT STRATEGY CASE AMIT KUMAR (PGDMA-1001)J.D.WILLIAM, INC.: J.D.WILLIAM, INC. Investment advisory firm Managing $120 million funds for its clients ASSET ALLOCATION MODEL Growth stock fund(GF) Income fund(IF) Money market fund(MMF) Amount Invested 20-40% of Total Portfolio 20-50% of Total Portfolio >=(at least) 30% of Total Portfolio RISK 0.10 0.07 0.01 Annual YIELD 18% of GF (0.18GF) 12.5% of IF (0.125IF) 7.5% of MMF (0.075MMF)Slide 3: Overall portfolio risk index=weighted avg. of the risk rating for the 3 funds. R= W1= , R1=0.1 W2 = , R2=0.07 W3 = , R3=0.01 Contracted with a client, having $ 8,00,000 to invest Problem- T o allocate $8lakh among the growth, income &Money market funds. To develop an L.P model that provide maximum yield for the portfolio. To develop a managerial report on the L.P model.Slide 4: Decision Variables- GF, IF, MMF Objective function- To maximize the total yield for the portfolio Max 0.18GF + 0.125IF + 0.075MMF Maximum Risk index given=0.05 Model Formulation Constraints- 1GF + 1IF + 1MMF <= 800,000 ($ amount available to invest) GF >= 0.2* (GF+IF+MMF) 0.80GF -0.20IF -0.20MMF >= 0 (Min growth fund) GF <= 0.4* (GF+IF+MMF) 0.60GF -0.40IF -0.40MMF <= 0 (Max growth fund) IF >= 0.2* (GF+IF+MMF) -0.20GF +0.80IF -0.20MMF > 0 (Min income fund) IF <= 0.5* (GF+IF+MMF) -0.50&F +0.50IF -0.50MMF <= 0 (Max income fund) MMF >= 0.3* (GF+IF+MMF) -0.30GF -0.30IF +0.70MMF >= 0 (Min money market fund) 0.1*GF+0.07*IF+0.01*MMF <= 0.05* (GF+IF+MMF) 0.05GF +0.021F -0.04MMF <= 0 (Max risk) ,GF,IF,MMF >= 0Slide 5: Q1.) solution- Fund Allocation- GF IF MMF SUM TOTAL $248888.8889 $160000 $391111.1111 $800000 Yield = $94133 Yield (in %) = = 11.8 %.Slide 7: Q2) solution- if the client's Risk index were increased by 0.05%,(from 0.05 to 0.055), the annual yield on investment would increase by $4,667 , from the original optimal estimation of $94,133 to a new projection of $98,800 . Fund Allocation- GF IF MMF SUMTOTAL $293333.33 $160000 $346666.67 $800000 Annual yield in (%) = = 12.35 %Slide 9: Q3) solution- Growth fund revised downward to 14% Limit for Growth fund= 0.18 to (“0.18 - 0.03”) = 0.15 (N.B : 0.03 is allowable decrease for GF) Since 0.16 is in the objective coefficient range for the growth fund return, there would be no change in allocation . However, the return would decrease by (0.02)*($248,889) or ($94133 - $89155) = $4978 Growth fund revised downward to 14% A decrease to 0.14 is outside the objective function coefficient range . So, we have to resolve the problem . “MAX 0.14GF +0.125IF +0.075MMF” Change in yield = ($94133 - $85066) = $9067Slide 12: Q4) solution- Since the current optimal solution has more invested in the growth fund than the income fund. So, for adding this requirement we have to resolve the problem with a new constraint . Max 0.18GF + 0.125IF +0.075MMF Maximum Risk index given=0.05 Constraints 1GF + 1IF + 1MMF <= 800,000 0.80GF -0.20IF -0.20MMF >= 0 0.60GF -0.40IF -0.40MMF <= 0 -0.20GF +0.80IF -0.20MMF > 0 -0.50&F +0.50IF -0.50MMF <= 0 -0.30GF -0.30IF +0.70MMF >= 0 0.05GF +0.021F -0.04MMF <= 0 1GF-1IF <= 0Slide 13: the value of the solution has decreased from $94,133 to $93,067. This is only a decrease of 0.2% in yield . Since the yield decrease is so small, We may prefer this portfolio.Slide 14: Q5.) solution- we would recommend the use of this model only when the clients meet the given criteria, i.e., similar objective functions and constraints . since, they are financial investment advisor working for the individual investors according to their need. So , we would not recommend the use of this asset allocation model as a general guide to financial investment. EXCEL SOLUTION OF THE CASESlide 15: EXCEL SHEET OF THE CASE Do right click and open worksheet object.then whole excel will open in separate. COMPLETE SHEET