End-to-end risk budgeting portfolio optimization with neural networks
Traditional stochastic optimization in financial operations research applications consist of a
two-step process:(1) calibrate parameters of the assumed stochastic processes by …
two-step process:(1) calibrate parameters of the assumed stochastic processes by …
Sharpe parity redux
J Simonian, A Martirosyan - The Journal of Portfolio …, 2022 - jpm.pm-research.com
In this article, the authors investigate the performance of the Sharpe parity asset allocation
strategy relative to the more well-known 60/40, mean–variance, risk parity, and min-variance …
strategy relative to the more well-known 60/40, mean–variance, risk parity, and min-variance …
Alpha-factor integrated risk parity portfolio strategy in global equity fund of funds
TK Lee, SY Sohn - International Review of Financial Analysis, 2023 - Elsevier
This study proposes a principal alpha-style factor integrated risk parity strategy that can
diversify style risk factors and the stock selection risk of external managers in Fund-of-Funds …
diversify style risk factors and the stock selection risk of external managers in Fund-of-Funds …
Kurtosis-based risk parity: methodology and portfolio effects
In this paper, a risk parity strategy based on portfolio kurtosis as reference measure is
introduced. This strategy allocates the asset weights in a portfolio in a manner that allows an …
introduced. This strategy allocates the asset weights in a portfolio in a manner that allows an …
A Tale of Two Currencies: Cash and Crypto
R Kashyap - arXiv preprint arXiv:2302.06348, 2023 - arxiv.org
We discuss numerous justifications for why crypto-currencies would be highly conducive for
the smooth functioning of today's society. We provide several comparisons between …
the smooth functioning of today's society. We provide several comparisons between …
[HTML][HTML] MAD risk parity portfolios
In this paper, we investigate the features and the performance of the risk parity (RP)
portfolios using the mean absolute deviation (MAD) as a risk measure. The RP model is a …
portfolios using the mean absolute deviation (MAD) as a risk measure. The RP model is a …
Net Zero Investing for Multi-Asset Portfolios seeking to satisfy Paris Aligned Benchmark Requirements with Climate Alpha Signals
P Hodges, H Ren, K Schwaiger… - Available at SSRN …, 2022 - papers.ssrn.com
Abstract The authors embed Paris Aligned Benchmark (PAB) requirements in an illustrative
multi-asset portfolio containing developed and emerging market equities, sovereign bonds …
multi-asset portfolio containing developed and emerging market equities, sovereign bonds …
[HTML][HTML] Testing of Portfolio Optimization by Timor-Leste Portfolio Investment Strategy on the Stock Market
An efficient and effective portfolio provides maximum return potential with minimum risk by
choosing an optimal balance among assets. Therefore, the objective of this study is to …
choosing an optimal balance among assets. Therefore, the objective of this study is to …
Improving Retirement Coverage Durability with Target Volatility Strategy for Changing Interest Rate Environment
Z Bai, V Steblovskaya… - Asia‐Pacific Journal of …, 2023 - Wiley Online Library
Motivated by the recent market turbulence triggered by the COVID‐19 pandemic and the
changing interest rate environment, we propose an improved investment strategy for …
changing interest rate environment, we propose an improved investment strategy for …
Risk budgeting using a generalized diversity index
GB Koumou - Journal of Asset Management, 2023 - Springer
Uniform budgeting in risk budgeting (RB), which results in risk parity (RP), can be sub-
optimal in the case where assets are correlated. In particular, it may lead to solutions with …
optimal in the case where assets are correlated. In particular, it may lead to solutions with …