Precommitted Investment Strategy versus Time-Consistent Investment Strategy for a General Risk Model with Diffusion

<div class="floats-full-page floats-full-page-figure"><h2>Figure 2</h2><div class="floats-full-page-caption"><table>The effect of parameters on optimal precommitted strategy for the C-L risk model.</table></div><div class="floats-full-page-content"><table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="358623.fig.002a" src="https://static-01.hindawi.com/articles/aaa/volume-2014/358623/figures/358623.fig.002a.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>The effect of <svg height="11.9625" id="M261" style="vertical-align:-3.25793pt" version="1.1" viewbox="0 0 13.6375 11.9625" width="13.6375" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,7.675)"><path d="M393 379q-9 -16 -28 -29q-15 -10 -23 -2q-19 19 -36 19q-21 0 -52 -38q-57 -72 -82 -126l-40 -197q-23 -3 -75 -18l-7 7q49 196 74 335q7 43 -2 43q-7 0 -30 -14.5t-47 -37.5l-16 23q37 42 82 73t67 31q41 0 15 -113l-11 -50h4q41 71 85 117t77 46q29 0 45 -26&#10;q13 -21 0 -43z" id="x1D45F"></path></g>
<g transform="matrix(.012,-0,0,-.012,7.238,11.762)"><path d="M241 635q53 0 94 -28.5t63.5 -76t33.5 -102.5t11 -116q0 -58 -11 -112.5t-34 -103.5t-63.5 -78.5t-94.5 -29.5t-95 28t-64.5 75t-34.5 102.5t-11 118.5q0 58 11.5 112.5t34.5 103t64.5 78t95.5 29.5zM238 602q-32 0 -55.5 -25t-35.5 -68t-17.5 -91t-5.5 -105&#10;q0 -76 10 -138.5t37 -107.5t69 -45q32 0 55.5 25t35.5 68.5t17.5 91.5t5.5 105t-5.5 105.5t-18 92t-36 68t-56.5 24.5z" id="x30"></path></g>
</svg> on optimal precommitted strategy</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="358623.fig.002b" src="https://static-01.hindawi.com/articles/aaa/volume-2014/358623/figures/358623.fig.002b.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>The effect of <svg height="11.825" id="M262" style="vertical-align:-3.13504pt" version="1.1" viewbox="0 0 13.6375 11.825" width="13.6375" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,7.675)"><path d="M393 379q-9 -16 -28 -29q-15 -10 -23 -2q-19 19 -36 19q-21 0 -52 -38q-57 -72 -82 -126l-40 -197q-23 -3 -75 -18l-7 7q49 196 74 335q7 43 -2 43q-7 0 -30 -14.5t-47 -37.5l-16 23q37 42 82 73t67 31q41 0 15 -113l-11 -50h4q41 71 85 117t77 46q29 0 45 -26&#10;q13 -21 0 -43z" id="x1D45F"></path></g>
<g transform="matrix(.012,-0,0,-.012,7.238,11.762)"><path d="M384 0h-275v27q67 5 81.5 18.5t14.5 68.5v385q0 38 -7.5 47.5t-40.5 10.5l-48 2v24q85 15 178 52v-521q0 -55 14.5 -68.5t82.5 -18.5v-27z" id="x31"></path></g>
</svg> on optimal precommitted strategy</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="358623.fig.002c" src="https://static-01.hindawi.com/articles/aaa/volume-2014/358623/figures/358623.fig.002c.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>The effect of <svg height="12.4375" id="M263" style="vertical-align:-0.20064pt" version="1.1" viewbox="0 0 9.5124998 12.4375" width="9.5124998" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,12.162)"><path d="M529 97q-70 -109 -136 -109q-41 0 -56 94q-23 144 -37 284q-38 -88 -99 -202.5t-93 -156.5q-26 -8 -76 -19l-9 21q71 78 145.5 193t124.5 232q-5 84 -15 128q-12 55 -29.5 75.5t-42.5 20.5q-21 0 -45 -13l-8 24q16 17 46 30t55 13q43 0 70 -46.5t40 -169.5&#10;q27 -249 51 -392q7 -46 23 -46q24 0 70 60z" id="x1D706"></path></g>
</svg> on optimal precommitted strategy</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="358623.fig.002d" src="https://static-01.hindawi.com/articles/aaa/volume-2014/358623/figures/358623.fig.002d.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>The effect of <svg height="8.3000002" id="M264" style="vertical-align:-0.13794pt" version="1.1" viewbox="0 0 9.7250004 8.3000002" width="9.7250004" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,8.038)"><path d="M548 455q-32 -77 -74 -77q-37 0 -103 10l-3 -2q36 -30 48.5 -62t12.5 -80q0 -103 -75 -179.5t-175 -76.5q-70 0 -113 45t-43 128q0 115 83.5 200.5t209.5 85.5q31 0 77.5 -4t67.5 -4q36 0 62 30zM350 274q0 54 -17 86q-19 35 -57 35q-50 0 -90 -37.5t-59 -91.5t-19 -109&#10;q0 -61 24.5 -96.5t65.5 -35.5q51 0 87.5 46.5t50.5 100.5t14 102z" id="x1D70E"></path></g>
</svg> on optimal precommitted strategy</td></tr></table></td></tr><tr class="fig-image" id="e"><td><img alt="358623.fig.002e" src="https://static-01.hindawi.com/articles/aaa/volume-2014/358623/figures/358623.fig.002e.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(e) </b>The effect of <svg height="12.325" id="M265" style="vertical-align:-3.25793pt" version="1.1" viewbox="0 0 16.0625 12.325" width="16.0625" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,8.038)"><path d="M548 455q-32 -77 -74 -77q-37 0 -103 10l-3 -2q36 -30 48.5 -62t12.5 -80q0 -103 -75 -179.5t-175 -76.5q-70 0 -113 45t-43 128q0 115 83.5 200.5t209.5 85.5q31 0 77.5 -4t67.5 -4q36 0 62 30zM350 274q0 54 -17 86q-19 35 -57 35q-50 0 -90 -37.5t-59 -91.5t-19 -109&#10;q0 -61 24.5 -96.5t65.5 -35.5q51 0 87.5 46.5t50.5 100.5t14 102z" id="x1D70E"></path></g>
<g transform="matrix(.012,-0,0,-.012,9.663,12.112)"><path d="M241 635q53 0 94 -28.5t63.5 -76t33.5 -102.5t11 -116q0 -58 -11 -112.5t-34 -103.5t-63.5 -78.5t-94.5 -29.5t-95 28t-64.5 75t-34.5 102.5t-11 118.5q0 58 11.5 112.5t34.5 103t64.5 78t95.5 29.5zM238 602q-32 0 -55.5 -25t-35.5 -68t-17.5 -91t-5.5 -105&#10;q0 -76 10 -138.5t37 -107.5t69 -45q32 0 55.5 25t35.5 68.5t17.5 91.5t5.5 105t-5.5 105.5t-18 92t-36 68t-56.5 24.5z" id="x30"></path></g>
</svg> on optimal precommitted strategy</td></tr></table></td></tr><tr class="fig-image" id="f"><td><img alt="358623.fig.002f" src="https://static-01.hindawi.com/articles/aaa/volume-2014/358623/figures/358623.fig.002f.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(f) </b>The effect of <svg height="12.175" id="M266" style="vertical-align:-2.34499pt" version="1.1" viewbox="0 0 8.6374998 12.175" width="8.6374998" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,7.675)"><path d="M478 372q0 -39 -31 -97t-61 -98t-78 -98q-45 -55 -73 -102q-13 -79 -13 -197q-11 -11 -43.5 -25.5t-53.5 -15.5l-15 17q5 35 26 101.5t47 123.5q8 72 -1.5 174.5t-37.5 178.5q-14 37 -29 37q-20 0 -67 -65l-25 21q37 60 73 90.5t63 30.5q47 0 72 -112q13 -56 17.5 -141.5&#10;t0.5 -143.5h2q155 193 155 297q0 26 -12 47q-5 8 -5 15q0 16 12.5 27t29.5 11q21 0 34 -21t13 -55z" id="x1D6FE"></path></g>
</svg> on optimal precommitted strategy</td></tr></table></td></tr></table></div></div>

Figure 2 | Precommitted Investment Strategy versus Time-Consistent Investment Strategy for a General Risk Model with Diffusion

title

Figure 2: Precommitted Investment Strategy versus Time-Consistent Investment Strategy for a General Risk Model with Diffusion

description

Figure 2

About this journal

<p><em>Abstract and Applied Analysis</em> publishes research with an emphasis on important developments in classical analysis, linear and nonlinear functional analysis, ordinary and partial differential equations, optimisation theory, and control theory.</p>


Journal profile

Meet the editorial board

<p>Chief Editor, Dr Wong, is an associate professor at Nanyang Technological University, Singapore. Her research interests include differential equations, difference equations, integral equations, and numerical mathematics.</p>


Editor spotlight

Submit your proposal

Do you think there is an emerging area of research that really needs to be highlighted? Or an existing research area that has been overlooked or would benefit from deeper investigation? Raise the profile of a research area by leading a Special Issue.