User profiles for Gordon H.. Dash
Gordon H Dash JrProfessor of Finance and Decision Sciences, University of Rhode Island Verified email at usa.net Cited by 216 |
Alternate programming structures for bank portfolios
GG Booth, GH Dash Jr - Journal of Banking & Finance, 1979 - Elsevier
Recently a number of mathematical programming models have been developed to assist
banks in their portfolio (balance sheet) management decision making. Generally, the model …
banks in their portfolio (balance sheet) management decision making. Generally, the model …
Behavioral portfolio management with layered ESG goals and AI estimation of asset returns
Portfolio managers and individual investors alike are in quest of efficient asset allocation
models that simultaneously express environmental, social, and governance (ESG) …
models that simultaneously express environmental, social, and governance (ESG) …
Artificial Intelligence Function Mapping to Calibrate the Determinants of SMME Performance
Various studies have been carried out to establish the key drivers impacting small enterprise
performance in developing countries. Despite many policy-oriented studies to uncover the …
performance in developing countries. Despite many policy-oriented studies to uncover the …
Engineering a generalized neural network mapping of volatility spillovers in European government bond markets
GH Dash Jr, N Kajiji - Handbook of Financial Engineering, 2008 - Springer
The recent convergence of two allogeneous disciplines, financial and computational
engineering, has created a new mode of scientific inquiry. Both disciplines rely upon theoretical …
engineering, has created a new mode of scientific inquiry. Both disciplines rely upon theoretical …
On multiobjective combinatorial optimization and dynamic interim hedging of efficient portfolios
GH Dash Jr, N Kajiji - International Transactions in Operational …, 2014 - Wiley Online Library
A dynamic portfolio policy is one that periodically rebalances an optimally diversified
portfolio to account for time‐varying correlations. In order to sustain target‐level Sharpe …
portfolio to account for time‐varying correlations. In order to sustain target‐level Sharpe …
Neural network architectures for efficient modeling of FX futures options volatility
The importance of volatility modeling is evidenced by the voluminous literature on temporal
dependencies in financial market assets. A substantial body of this literature relies on …
dependencies in financial market assets. A substantial body of this literature relies on …
Evolving economy bank asset‐liability and risk management under uncertainty with hierarchical objectives and nonlinear pricing
GH Dash Jr, N Kajiji - Journal of Multi‐Criteria Decision …, 2002 - Wiley Online Library
Quantitative modelling of the asset‐liability management (ALM) problem faced by banking
institutions is reexamined in this paper. The model presented here joins stochastic …
institutions is reexamined in this paper. The model presented here joins stochastic …
The role of supervised learning in the decision process to fair trade US municipal debt
Determining a fair price and an appropriate timescale to trade municipal debt is a complex
decision. This research uses data informatics to explore transaction characteristics and …
decision. This research uses data informatics to explore transaction characteristics and …
New evidence on the predictability of South African fx volatility in heterogeneous bilateral markets
The purpose of this paper is to model the nonparametric realized volatility of the US based
futures contract for dollar exchange with the South African rand (ZAR). We find that the Kajiji-4 …
futures contract for dollar exchange with the South African rand (ZAR). We find that the Kajiji-4 …
[HTML][HTML] Efficient multiple objective neural network mapping of state-wide high school achievement
N Kajiji, GH Dash Jr - Journal of Applied Operational Research, 2012 - books.google.com
During the last decade, public school researchers in the US have devoted substantial effort
to indentify the factors that most effectively impact the two targeted high school achievement …
to indentify the factors that most effectively impact the two targeted high school achievement …