scholarly journals Analyzing, Modeling, and Utilizing Observation Series Correlation in Capital Markets

Computation ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 88
Author(s):  
Alexander Musaev ◽  
Dmitry Grigoriev
Keyword(s):  
Evolutionary Algorithm ◽  
Capital Markets ◽  
Asset Management ◽  
Theoretical Basis ◽  
Management Strategies ◽  
Financial Instrument ◽  
Observation Series ◽  
Estimate Quality ◽  
Correlated Assets ◽  
Instrument Observation

In this paper, we consider the task of the analysis, modeling, and application of dependencies between asset quotes at various capital markets. As an example, we study the dependency between financial instrument observation series in the currency and stock markets. Our work intends to give a theoretical basis to asset management strategies that estimate an asset’s price via regression, taking into account its correlated assets in various markets. Furthermore, we provide a way to increase the estimate quality using an evolutionary algorithm.

A Decision Support Tool for Wastewater Catchment Management

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
S.E. Walters ◽  
D. Savic ◽  
R.J. Hocking
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Capital Investment ◽  
Management Strategies ◽  
Sewage Treatment ◽  
Decision Support Tool ◽  
Catchment Management ◽  
Clean Water ◽  
Support Tool ◽  
South West

The water industry over the years has primarily focussed on upgrading and investing in clean water provision. However, as research into the science and management of clean water services has progressed rapidly, wastewater provision and services has been slower. Focus, though, is now shifting within Industry and Research into wastewater services. The water regulator, Ofwat, for England and Wales demands the Sewerage Undertakers demonstrate efficient management of wastewater systems in order to obtain funding for Capital Investment projects. South West Water, a Water Service Provider and Sewerage Undertaker located in the South West of England, identified a need gap in their asset management strategies for wastewater catchments. This paper will introduce the production of a Decision Support Tool, DST, to help SWW proactively manage their Wastewater Catchments, examining Sewage Treatment Works, Pumping Stations and Networks. The paper will discuss some concepts within the DST, its production, testing and a brief case study. The DST provides a framework for prioritising catchments to optimise investment choices and actions. The Tool ranks catchments utilising Compromise Programming, CP, as well as AHP Pair-wise comparisons for preference weights. The DST incorporates Asset models, a Whole life Costing Module, as well as a Decay and Intervention Module.

Grantmaking Foundations’ Asset Management, Payout Rates, and Longevity Under Changing Market Conditions: Results From a Monte Carlo Simulation Study

2019 ◽  
Vol 49 (2) ◽  
pp. 424-447
Author(s):  
Zvika Afik ◽  
Simon Benninga ◽  
Hagai Katz
Keyword(s):  
Monte Carlo ◽  
Asset Management ◽  
Management Strategies ◽  
Problem Area ◽  
Life Cycles ◽  
Investment Strategies ◽  
Monte Carlo Simulation Study ◽  
Success Stories ◽  
Investment Returns ◽  
Grantmaking Foundations

Today’s uncertain financial markets could affect foundations’ future grantmaking capacities. We review foundations’ financial decision-making patterns and their effect on foundations’ assets, longevity goals, and payouts. Using three fictional foundations with different longevity goals and grantmaking preferences, we demonstrate the delicate balance and tight nexus between asset management strategies, payout rates, and longevity. To do so, we perform stochastic Monte Carlo simulations of multiple foundation life cycles, conducted under diverse capital market scenarios. The findings suggest that foundations should (a) readjust their return expectations to today’s less favorable markets; (b) reduce their reliance on past portfolios’ investment returns or unique “success stories” in making decisions; (c) appreciate the strong interdependence between portfolio-mix, payout rates, and longevity; (d) consider effects of their particular mission/problem area on these parameters; and (e) use tailored projection analyses that simulate various investment strategies, payouts rates, and longevity to meet their grantmaking goals.

Using Financial Instruments

2019 ◽  
pp. 37-46
Author(s):  
Alan N. Rechtschaffen
Keyword(s):  
Financial Market ◽  
Capital Markets ◽  
Federal Reserve ◽  
Financial Instruments ◽  
Case Scenario ◽  
Worst Case ◽  
Financial Instrument ◽  
Market Participants ◽  
Managing Risk ◽  
The Stability

Capital markets provide enterprises with the opportunity to access capital to maintain their level of business activity. Therefore, ensuring the stability of the capital markets and preventing systemic failure are paramount concerns of the Federal Reserve and other financial market regulators. Access to capital markets is facilitated through the use of financial instruments that allow risk to be negotiated among market participants. When using financial instruments to achieve goals, a corporation must be aware of several considerations: the value of the asset underlying the financial instrument, duties or obligations the corporation owes to the other party to the contract, the implications and “worst case scenario” of the performance of the financial instrument, the risk of the transaction, and how the specific transaction can achieve the corporation's goals. This chapter discusses goal-oriented investing, achieving investment goals, and managing risk.

Application of Artificial Neural Networks in Predicting the Degradation of Tram Tracks Using Maintenance Data

2020 ◽  
pp. 845-864
Author(s):  
Sara Moridpour ◽  
Ehsan Mazloumi ◽  
Reyhaneh Hesami
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Asset Management ◽  
Management Strategies ◽  
Operating Cost ◽  
Light Rail ◽  
Ann Model ◽  
Track Geometry ◽  
Artificial Neural ◽  
And Performance

The increase in number of passengers and tramcars will wear down existing rail structures faster. This is forcing the rail infrastructure asset owners to incorporate asset management strategies to reduce total operating cost of maintenance whilst improving safety and performance. Analysing track geometry defects is critical to plan a proactive maintenance strategy in short and long term. Repairing and maintaining the correctly selected tram tracks can effectively reduce the cost of maintenance operations. The main contribution of this chapter is to explore the factors influencing the degradation of tram tracks (light rail tracks) using existing geometric data, inspection data, load data and repair data. This chapter also presents an Artificial Neural Networks (ANN) model to predict the degradation of tram tracks. Predicting the degradation of tram tracks will assist in understanding the maintenance needs of tram system and reduce the operating costs of the system.

scholarly journals Asset management using a hybrid backcasting/forecasting approach

Facilities ◽  
2015 ◽  
Vol 33 (11/12) ◽  
pp. 701-715 ◽  
Author(s):  
Keith Jones ◽  
Api Desai ◽  
Mark Mulville ◽  
Aled Jones
Keyword(s):  
Climate Change ◽  
Conceptual Framework ◽  
Asset Management ◽  
Management Strategies ◽  
Management Plan ◽  
Adaptation To Climate Change ◽  
Content Type ◽  
Alternative Pathways ◽  
Future State ◽  
The Future

Purpose – The purpose of this paper is to present an alternative approach to facilities and built asset management adaptation planning to climate change based on a hybrid backcasting/forecasting model. Backcasting envisions a future state and examines alternative “pathways of approach” by looking backwards from the future state to the present day. Each pathway is examined in turn to identify interventions required for that pathway to achieve the future state. Each pathway is reviewed using forecasting tools and the most appropriate is selected. This paper describes the application of this approach to the integration of climate change adaptation plans into facilities and built asset management. Design/methodology/approach – The researchers worked with various stakeholders as part of a participatory research team to identify climate change adaptations that may be required to ensure the continued performance of a new educational building over its life cycle. The team identified 2020, 2040 and 2080 year end-goals and assessed alternative pathways of approach. The most appropriate pathways were integrated into the facilities and built asset management plan. Findings – The paper outlines a conceptual framework for formulating long term facilities and built asset management strategies to address adaptation to climate change. Research limitations/implications – The conceptual framework is validated by a single research case study, and further examples are needed to ensure validity of the approach in different facilities management contexts. Originality/value – This is the first paper to explore backcasting principles as part of facilities and built asset management planning.

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