Median-adaptive portfolios: a minimum criteria approach to asset allocation

F Kyriazi, S Tarani, DD Thomakos - Annals of Operations Research, 2023 - Springer
We propose a new class of adaptive portfolios for asset allocation, based on a one-
parameter variation of the equally weighted portfolio and the use of the median-ranked …

Testing for asymmetric dependency structures in financial markets: regime-switching and local Gaussian correlation

K Gundersen, T Bacri, J Bulla, S Hølleland… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper examines asymmetric and time-varying dependency structures between financial
returns, using a novel approach consisting of a combination of regime-switching models and …

Comparative Analysis of Industry and Country Diversification Benefits of the Equity Portfolio

EV Lapteva - The Journal of Wealth Management, 2023 - pm-research.com
This study focuses on the construction of investment portfolios using different optimization
methods (1/N, risk parity, hierarchical risk parity, mean variance) based on two ways of asset …

On Sensitivity for Portfolio Optimisation Based on a High-dimensional Jump-diffusion Merton Model

B Afhami, M Rezapour, M Madadi… - Statistics, Optimization & …, 2022 - iapress.org
The problem of singularity of the variance-covariance matrix and its impact on the sensitivity
of Markowitz portfolio optimization has been extensively studied in the literature when the …

Maximizing the Probability to Reach the Goal: An Exploration Exercise in Goal-Based Wealth Management.

JG Simonato - Journal of Portfolio Management, 2023 - search.ebscohost.com
Goal-based wealth management (GBWM) is a portfolio approach in which the investor
associates risk with the probability of not attaining a financial goal. Using several datasets …

[HTML][HTML] کاربرد معادلات دیفرانسیل تصادفی در پیش بینی رفتار قیمت سهام

پیری ایرانشاهی, جعفری سرشت, داوود, قلی زاده… - مدلسازی اقتصادی‎ - sanad.iau.ir
چکیده هدف این مقاله بررسی کارایی مدل‌های معادلات دیفرانسیل تصادفی در پیش‌بینی قیمت سهام
است. برای ارزیابی دقت این مدل‌ها، یک مطالعه مقایسه‌ای بین این مدل‌ها و مدل‌های سری زمانی متداول انجام …

[PDF][PDF] The Three Musketeers of Portfolio Allocation: Risk, Return, and Machine Learning: A data-driven approach to portfolio allocation using machine learning and …

HO Morstad, LT Bock - 2021 - openaccess.nhh.no
The portfolio selection problem is one of the most discussed topics in financial literature.
Harry Markowitz (1952) is recognized as the first to formalize the risk-reward trade-off …