yc4646/code.academic_webpage
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Updated MOR to forthcoming.

Browse Source
This commit is contained in:
Chen Yang
2020-02-20 18:00:03 +08:00
parent 3926cd8637
commit 56958851ca
2 changed files with 19 additions and 11 deletions
Download Patch File Download Diff File Expand all files Collapse all files

26
index.html
View File

@@ -68,32 +68,36 @@ Optimal investment under market frictions; Stochastic Control; FinTech; Market m
<h3>Publications</h3>
<ol reversed>
<!-- <li><b>Rebalancing of Leveraged ETFs under Market Frictions</b> (with <a href="http://www.math.nus.edu.sg/~matdm/" target="_blank">Min Dai</a>, <a href="https://www.bu.edu/questrom/profile/steven-kou/" target="_blank">Steven Kou</a> and <a href="https://people.math.ethz.ch/~hmsoner/" target="blank">H. Mete Soner</a>).<br>
submitted, 2019.</li> -->
<li><b>Rebalancing of Leveraged ETFs under Market Frictions</b> (with <a href="https://sites.google.com/view/mindai/home" target="_blank">Min Dai</a>, <a href="https://www.bu.edu/questrom/profile/steven-kou/" target="_blank">Steven Kou</a> and <a href="https://people.math.ethz.ch/~hmsoner/" target="blank">H. Mete Soner</a>).<br>
submitted.<br><hr>
<i>Although leveraged ETFs are popular products for retail investors, how to hedge them poses a great challenge to financial institutions. We develop an optimal rebalancing (hedging) model for leveraged ETFs in a comprehensive setting, including overnight market closure and market frictions. The model allows for an analytical optimal rebalancing strategy.
Moreover, our result extends the principle of "aiming in front of target" introduced by <a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/jofi.12080" target="_black">G&acirc;rleanu and Pedersen (2013)</a> from a constant weight between current and future positions to a time-varying weight, because the rebalancing performance is monitored only at discrete time points but the rebalancing takes place continuously.</i>
</li><br>
<li><b>Designing Stable Coins</b> (with <a href="https://www.linkedin.com/in/yizhoucao/" target="_blank">Yizhou Cao</a>, <a href="http://www.math.nus.edu.sg/~matdm/" target="_blank">Min Dai</a>, <a href="https://www.bu.edu/questrom/profile/steven-kou/" target="_blank">Steven Kou</a> and <a href="https://www.linkedin.com/in/lewei-li/" target="_blank">Lewei Li</a>).<br>
submitted, 2018.<br><br>
<li><b>Designing Stable Coins</b> (with <a href="https://www.linkedin.com/in/yizhoucao/" target="_blank">Yizhou Cao</a>, <a href="https://sites.google.com/view/mindai/home" target="_blank">Min Dai</a>, <a href="https://www.bu.edu/questrom/profile/steven-kou/" target="_blank">Steven Kou</a> and <a href="https://www.linkedin.com/in/lewei-li/" target="_blank">Lewei Li</a>).<br>
submitted.<br><hr>
<i>Stable coins, which are cryptocurrencies pegged to other stable financial assets such as U.S. dollar, are desirable for payments within blockchain networks, whereby being often called the “Holy Grail of cryptocurrency.” However, existing cryptocurrencies are too volatile for these purposes. By using the option pricing theory, we design several dual-class structures that offer a fixed income crypto asset, a stable coin pegged to a traditional currency, and leveraged investment instruments. To understand the impact of the proposed coins on the speculative and non-speculative demands of cryptocurrencies, we study equilibrium with and without the stable coins. Our investigation of the values of stable coins in presence of jump risk and black-swan type events shows the robustness of the design.</i>
</li><br>
<li><b>Stochastic Representation for Nonlocal Problems</b> (with <a href="http://www.math.nus.edu.sg/~matdm/" target="_blank">Min Dai</a> and <a href="https://www.bu.edu/questrom/profile/steven-kou/" target="_blank">Steven Kou</a>).<br>
submitted, 2017.<br><br>
<li><b>Stochastic Representation for Nonlocal Problems</b> (with <a href="https://sites.google.com/view/mindai/home" target="_blank">Min Dai</a> and <a href="https://www.bu.edu/questrom/profile/steven-kou/" target="_blank">Steven Kou</a>).<br>
<i>Mathematics of Operations Research</i>, forthcoming. [<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3541591">SSRN</a>]
<br><hr>
<i>We establish a stochastic representation for a class of nonlocal parabolic terminal-boundary value problems, whose terminal and boundary conditions depend on the solution in the interior domain; in particular, the solution is represented as the expectation of functionals of a diffusion process with random jumps from boundaries. We discuss three applications of the representation, the first one on the pricing of dual-purpose funds, the second one on the connection to regenerative processes, and the third one on modeling the entropy on a one-dimensional non-rigid body.</i>
</li><br>
<li><b>Inventory Management for High-Frequency Trading with Imperfect Competition</b> (with <a href="http://www-personal.umich.edu/~sherrma/" target="blank">Sebastian Herrmann</a>, <a href="https://wwwf.imperial.ac.uk/~jmuhleka/" target="blank">Johannes Muhle-Karbe</a> and <a href="https://www.linkedin.com/in/dapeng-shang-654316105/<Paste>" target="blank">Dapeng Shang</a>).<br>
<i>SIAM Journal on Financial Mathematics</i>, forthcoming. [<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3232037">SSRN</a>|<a href="http://arxiv.org/abs/1808.05169">arXiv</a>]<br><br>
<i>SIAM Journal on Financial Mathematics</i>, forthcoming. [<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3232037">SSRN</a>|<a href="http://arxiv.org/abs/1808.05169">arXiv</a>]<br><hr>
<i>We study Nash equilibria for inventory-averse high-frequency traders (HFTs), who trade to exploit information about future price changes. For discrete trading rounds, the HFTs' optimal trading strategies and their equilibrium price impact are described by a system of nonlinear equations; explicit solutions obtain around the continuous-time limit. Unlike in the risk-neutral case, the optimal inventories become mean-reverting and vanish as the number of trading rounds becomes large. In contrast, the HFTs' risk-adjusted profits and the equilibrium price impact converge to their risk-neutral counterparts. Compared to a social-planner solution for cooperative HFTs, Nash competition leads to excess trading, so that marginal transaction taxes in fact decrease market liquidity.</i>
</li><br>
<li><b>Hedge Fund Leverage with Stochastic Market Conditions</b> (with Li Zhao, Wenli Huang and Shenghong Li).<br>
<i>International Review of Economics & Finance</i> 59:258-273, 2018. [<a href=https://www.sciencedirect.com/science/article/pii/S1059056018300558, target="_blank">Article</a>]<br><br>
<i>International Review of Economics & Finance</i> 59:258-273, 2018. [<a href=https://www.sciencedirect.com/science/article/pii/S1059056018300558, target="_blank">Article</a>]<br><hr>
<i>Hedge funds face stochastic market conditions. We develop a dynamic framework to analyze hedge fund optimal leverage choice, in which the extra return and volatility of the alpha-generating strategy shift between good and bad states at random times. We find that the optimal leverage, the manager's risk attitude and her compensation in each state reflect the possibility for state shifts, in contrast to the results of the one-state model. The manager always intends to increase leverage when the probability of a coming crisis is higher; however, the leverage is significantly reduced when the crisis arrives.</i>
</li><br>
<li><b>Optimal Tax-timing with Asymmetric Long-term/short-term Capital Gains Tax</b> (with <a href="http://www.math.nus.edu.sg/~matdm/" target="_blank">Min Dai</a>, <a href="http://apps.olin.wustl.edu/faculty/liuh/" target="blank">Hong Liu</a> and <a href="https://www.linkedin.com/in/yifei-zhong-12858524/" target="_blank">Yifei Zhong</a>).<br>
<i>The Review of Financial Studies</i> 28.9:2687-2721, 2015. [<a href=https://academic.oup.com/rfs/article/28/9/2687/1581078, target="_blank">Article</a>]<br><br>
<li><b>Optimal Tax-timing with Asymmetric Long-term/short-term Capital Gains Tax</b> (with <a href="https://sites.google.com/view/mindai/home" target="_blank">Min Dai</a>, <a href="http://apps.olin.wustl.edu/faculty/liuh/" target="blank">Hong Liu</a> and <a href="https://www.linkedin.com/in/yifei-zhong-12858524/" target="_blank">Yifei Zhong</a>).<br>
<i>The Review of Financial Studies</i> 28.9:2687-2721, 2015. [<a href=https://academic.oup.com/rfs/article/28/9/2687/1581078, target="_blank">Article</a>]<br><hr>
<i>We develop an optimal tax-timing model that takes into account asymmetric long-term and short-term tax rates for positive capital gains and limited tax deductibility of capital losses. In contrast to the existing literature, this model can help explain why many investors not only defer short-term capital losses to long term but also defer large long-term capital gains and losses. Because the benefit of tax deductibility of capital losses increases with the short-term tax rates, effective tax rates can decrease as short-term capital gains tax rates increase.</i>
</li>
</ol>
@@ -105,7 +109,7 @@ Optimal investment under market frictions; Stochastic Control; FinTech; Market m
<hr>
<div align="right"><font size="-1">Last updated: 2019-10-27</font></div>
<div align="right"><font size="-1">Last updated: 2020-02-20</font></div>
</body>
</html>

4
style.css
View File

@@ -60,3 +60,7 @@ ul#course {
.main {
margin-top: 5px; /* Add a top margin to avoid content overlay */
}
hr {
border-top: dashed 1px;
}