Investment Planning Research Articles

Financial Literacy in Promoting Financial Investment Planning: A College Level Study

Purpose
 The objective of this research study is to find out Impact of financial literacy in promoting financial investments among college students.
 Design/methodology/approach:
 The study approaches Qualitative research using descriptive research method.
 Findings:
 The most influencing variables on the investment planning are financial knowledge, financial risk perception, Cost of investment 
 Practical implications
 – The practical implications are about giving information about the financial curriculum framing for the college students which might have impact on financial investments
 Originality/value: After initiating primary data collection using questionnaire with measuring and ranking scales the variables such as financial knowledge, risk perception, cost of investment was found out.
 Paper type: Empirical Research Paper

The Determinant of Time in the Logistical Process of Wind Farm Planning

Planning logistical processes supports the managerial processes of an enterprise, including investments such as wind farm construction. The aim of the article is to analyze and assess the time determinant in the logistical process of wind farm planning. The research method involves the analysis of a case study on the investment planning of a wind farm (WF) in Poland from 2008 to 2020. The Critical Path Method (CPM) was applied to the planning and scheduling of projects and logistical planning processes at WF Barwice. As a result of the research efforts, which included the identification of stages, time frames, critical paths, and construction conditions, the outcome is a concept for optimizing the logistical process of wind farm planning. The main problem associated with the planning of this investment was the analysis and evaluation of the environmental factors that would impact upon a positive assessment of the construction of WF Barwice. The outcome is the optimization of the time determinant in the logistical process of wind farm planning from 14 years to 10; however, legal, administrative, and environmental constraints have influenced the achieved result.

Application of ARIMA agorithm and genetic algorithm based on MATLAB language in finance

The price changes of bitcoin and gold are frequent, as observed in previous studies, and market participants can base their daily investment plans on historical data. Market traders can maximise their investment returns by buying low and selling high on volatile assets based on the day's market conditions, as markets fluctuate every day. Gold and bitcoin are two of the most common volatile investments. In this project, we are trying create an algorithm of high degree of integration which can provide advice to traders before they made their decisions. We used ARIMA algorithm based on the Genetic Algorithm to predict the data and let the algorithm to make based on the predicted data. The complete code could be seen in appendix. The codes were mostly based on MATLAB language, for which it integrated the features of simple and easy to get started; dispatchable sensitivity; adaptable and reliable. Which allows the traders to use simple operations to get reliable and visualizable results. Which can let the traders to have the opportunity to get suggestions on when they should trade.

Financial Impact Of Medical Waste Management In Hospital "X" Surabaya

The increase in the volume of medical waste is in line with the improvement of medical waste management performance and compliance with government regulations. Hospitals have another challenge in medical waste management with higher treatment costs that have a direct impact on financial aspects. Based on these problems, this study aims to evaluate medical waste management by comparing the level of hospital compliance with regulations and technical aspects, assessing the generation of medical waste and assessing the financial aspects of recycled medical waste management. The research method is structured observation to collect information and facts in the field so that a systematic description can be accomplished. The results of this study show that X Hospital, Surabaya has complied with the laws and regulations. The results of the study of medical waste generation obtained an average generation in the inpatient room of 88.20 Kg / day and the average waste generation per inpatient patient of 1.15 Kg / day and for outpatients of 0.05 Kg / day. The composition of recycled waste is 18.94%, infectious waste is 57.50%, pharmaceutical packaging waste (Hazardouse waste) is 10.90%, cytotoxic waste is 0,06% and sharps waste is 1.25%. The financial analysis generated from recycling activities on used hazardouse waste packaging, used syringes, used infusion bottles other than blood and/or body fluid infusions, and/or used hemodialysis fluid packaging obtained a NPV value > 0 and BCR value = 1.98 > 1, so this investment is economically feasible and the investment plan is recommended to be implemented.

Using Operations Research to Solve the Idea of Company Investment Resource Allocation

This paper mainly through the operation research method to optimize the allocation efficiency of enterprise investment resources. First, the linear planning strategy is used to achieve the balanced optimization of portfolio risk and return. Second, the market situation assessment helps to make investment decisions. Then, the decision tree means is used to judge the core risk elements, so as to build targeted risk control measures. Finally, according to various market backgrounds, with the help of sensitivity analysis, the performance of the investment plan is evaluated to realize the optimization of the investment strategy. Using these methods will help enterprises achieve investment goals, optimize investment strategies, reduce risks and improve returns.

Data–driven analysis of Romania's renewable energy landscape and investment uncertainties

In recent years, there has been a significant transformation in the energy sector in the European Union as a whole. The shift towards producing renewable energy has had a significant impact on the economic development of most countries, requiring substantial investments through public procurement. This study aims to analyse the evolution of the energy sector in Romania from an economic perspective by using a data-driven approach. The data used in this research is collected from publicly available sources and pertains to energy production and public acquisitions in Romania, carried out through the Electronic Public Procurement System. By using a mixed approach, combining documentary analysis, literature review, and predictive modelling, the study reveals a shift towards more sustainable energy options. There is a significant decrease in the production of thermal power and an increase in solar and wind power. The findings provide an overview and potential scenario of Romania's electricity production levels in 2023, shedding light on the relative uncertainties associated with such a transition. The findings also suggest a clear and growing commitment in Romania towards the adoption of alternative energy sources, as reflected in the trends of public procurement. These procurement trends offer a valuable perspective on policy-making, investment planning, and progress monitoring in Romania's energy transition. Despite the inherent uncertainties in such a transition, the study demonstrates Romania's potential in terms of diverse sources for electricity production as well as the role of public procurement in achieving energy transformation.

A Comprehensive Competitiveness Decision Method for Electricity Retailers Considering the Integration of Device Operation, Investment Planning, and Marketing Strategy

A Comprehensive Competitiveness Decision Method for Electricity Retailers Considering the Integration of Device Operation, Investment Planning, and Marketing Strategy

Effectiveness of Financing Measures to Reduce Low Emissions in Poland - a Case Study

Local authorities are increasingly facing the challenges of climate change, which requires adaptation of various elements of local government systems, including infrastructure, communities and local economies. Operating in an ever-changing reality, local government units should plan for the necessary sustainable local government investments, with particular attention to structural gaps and financial mismatches. Local government is responsible for ensuring local energy security and thus for 'environmental sustainability'. The overall objective of this study is to assess the effectiveness of financing low-emission lowering measures from the Environmental Protection and Water Management Fund in municipalities in Lubusz Province in 2020. The article uses cause-effect relationship analysis (regression models). Investments implemented by local governments generally have a positive impact on the reduction of low emissions, although the results of the study indicate a negative impact of financing investments in alternative energy sources (RES). This may be related to large investment outlays, as well as difficulties in spatial planning, environmental impact and administrative inefficiency.

Achieving Net Zero Condominiums through Energy Community Sharing

The European energy transition process is geared toward improving the economic viability of the energy sector through its democratization, which includes enabling citizens to generate, share, and sell energy produced by renewable sources. The current directives have led to the creation of energy communities and collective self-consumption groups to engage and raise awareness among citizens, with the goal of achieving social, economic, and environmental benefits through shared renewable energy generation and consumption. In the near future, more and more of these initiatives are anticipated; therefore, innovative technological tools are necessary to assist their growth path. This research introduces a multi-criteria techno-economic simulation framework that enables the evaluation of several investment scenarios for various plant sizes and energy prices. The findings are useful during the investment planning phase as they help guide decision-making toward the objectives of economic, energy, and environmental sustainability. To evaluate the methodology, a case study of a collective self-consumption group located in a smart building in Italy is proposed. The results are discussed from statistical, technical, economic, and financial standpoints, demonstrating how the proposed approach can contribute to the development of collective self-consumption groups, risk hedging, and the goal of developing energy self-sufficiency based on the net-zero energy building concept.

An Empirical Examination of Factors Affecting SIP Adoption in Noida Region

Investment, appertained to as the conception of remitted consumption, which might correspond to copping an asset, rendering a loan, keeping the saved finances in a bank account similar that it might induce profitable returns in the future. The deployment of financial resources is undertaken with the objective of achieving fresh income or an increase in value. SIP has played a significant part in the Indian fiscal market. It gives openings to small investors to invest their small quantum and to take return of the fiscal market with minimal threat. SIPs are a mode of investment. It's the stylish option for those looking to invest a fixed quantum in collective fund schemes at regular intervals. Given its nature of investing, SIP helps conduct fiscal discipline and inculcates regular saving habits. The growth in financial literacy within the general population has spurred the proliferation of investments in these fund houses. A survey was undertaken among retail investors in Noida, comprising 143 respondents. The factors influencing investors towards systematic investment plan include Liquidity, Rupee cost averaging, Professional Management and diversification. Key Words: Mutual Fund, Systematic Investment Plan, Investors inclination, Returns

A dataset for multi-faceted analysis of electric vehicle charging transactions

This study discloses a dataset of electric vehicles’ (EVs’) charging transactions at a scale for multi-faceted analysis from both EV charger and user perspectives. The data comprises whole sessions that occurred during a charging operation company’s annual commercial operation period, specifically including identifiers and charger location categories. For data acquisition, machine-to-machine wireless communication system with proper retransmission for interruption is utilised. The entire dataset is newly collected and is available with 72,856 sessions from 2,337 EV users and 2,119 chargers. The dataset can be used in a variety of ways for the functioning of power systems and markets, including EV charging service businesses, charger installation siting, demand transaction market design, and long-term investment planning of EV-related infrastructure.

Transport investments and the changing space economy in Kumasi, Ghana

In many African cities, major public transport investments result in mixed land use decisions by private residents. The economic and planning implications of these private land-use decisions are not fully understood; and hence not taken advantage of. Using Kumasi, the second largest city in Ghana, this study explores the range of land use changes and space economy along the Asokwa By-pass and Interchange project, implemented between 2008 and 2011. While not establishing causality, the paper juxtaposes the space economy along the corridor prior to its commencement with existing land uses; to examine perceived and real changes recorded. Adopting a combination of qualitative and quantitative data collection methods including institutional consultations and survey of 290 household participants and 20 business operators, the paper observes rapid emergence of economic uses; conversion of obsolete buildings into shopping arcades; and reclamation of unused lands. Beyond providing improved access and mobility, urban transport investments in cities in sub-Saharan Africa could be leveraged for value capture and revenue mobilisation towards the management of the infrastructure provided. This calls for a re-examination of the role of urban transport investments in sustainable city planning and infrastructure management in sub-Saharan Africa.

Prioritising climate adaptation options to minimise financial and distributional impacts of water supply disruptions

Climate-related disruptions to water supply infrastructure services incur direct financial losses to utilities (e.g. to repair damaged assets) and externalise a societal cost to domestic customers due to additional costs that they may incur (e.g. to acquire water from alternative sources). The latter often represents an uncompensated social burden, which should be properly accounted for in investment planning. Here we present a new framework for quantifying direct financial risks burdened by utilities and alternative water purchase losses incurred by domestic customers, including those in low-income groups, during flood- and drought-induced utility water supply disruptions. This framework enables the comparison of benefit-cost ratios of a portfolio of flood protection and leakage reduction for water supply systems across the island of Jamaica. A system-level optioneering analysis allows the identification of the optimal adaptation option per system. We estimate that 34% of systems would benefit from flood defences and 53% would benefit from leakage reduction to adaptation to droughts. The benefit that could be achieved by implementing all system optimised adaptation options is estimated to be 720 million Jamaican dollars per year on average, representing a substantial saving for the utility and its customers, including low-income customers. We identify options that offer strong synergies between economic and equity objectives for both types of adaptation option. The proposed framework is established to support the business case for climate adaptation in the water supply sector and to prioritise across flood and drought mitigation options. We take a first step towards mainstreaming equity considerations in water supply sector optioneering frameworks by estimating the contribution of adaptation options towards reducing household costs for low-income customers.

Unveiling Disparities: Investigating the Gap between Palestinian Authority Counter Segregation Policies and Local Implementation Amid Deteriorating Conditions in the West Bank

Spatial segregation in the West Bank remains a pressing issue with profound social, economic, and political implications. This study examines the gap between the Palestinian Authority's (PA) political statements and the local implementation of strategic planning measures to counter segregation in Palestinian communities. By analyzing the Strategic Development and Investment Plans (SDIPs) from 2018-2021, this research investigates the extent to which these plans address the challenges posed by Israeli settlements and promote inclusive urban development. The findings reveal significant shortcomings, including limited coverage of settlement-related challenges, inadequate strategies to confront settlement activity, and a lack of context-specific approaches; Out of the 122 plans analyzed, only 15 (12.3%) explicitly addressed the geopolitical situation, while 67 (54.9%) acknowledged settlements as a challenge. Disturbingly, 28 plans (22.9%) neglected the significance of Area C, highlighting a substantial oversight.

Trading behavior by foreign and domestic investors

Purpose- Momentum, a well-known anomaly in financial markets, has garnered considerable attention from both academicians and market participants due to its implications for the market efficiency hypothesis and investment plans of investors. While momentum trading can yield excess returns, it is not a possible strategy for all investors because if one segment of investors employs a momentum trading strategy to profit from their trades, it requires another type of investor to take the opposite position to clear the market. Methodology- I investigate the momentum trading behavior of investors in different segments of Borsa İstanbul. Specifically, I focus on the momentum trading behavior among local and foreign investors and private and institutional investors. Findings- The results show that foreign investors’ stock holdings are positively associated with past returns inferring momentum trading while domestic investors are contrarians. Further analysis of domestic investors’ investing strategies reveals that the contrarian trading of domestic investors is mainly driven by individual investors. Conclusion- The results show that foreign investors’ stock holdings are positively associated with past returns inferring momentum trading while domestic investors are contrarians. Also, the contrarian trading of domestic investors is mainly driven by indvidual investors. Keywords: Momentum trading, investor behavior, foreign investor, domestic investor, panel data JEL Codes: G40, G11, G14

THE ROLE OF FINANCIAL AUDIT IN ENSURING THE RELIABILITY OF FINANCIAL STATEMENTS

The audit of financial statements is positioned as an integral part of an unbiased assessment and control of financial activities. It is aimed at ensuring their reliability and compliance with generally accepted standards. It is necessary to actualize the role of financial audits due to the dynamics of conditions and factors affecting companies' activities. This study aims to substantiate the role of financial audits as a guarantee of financial statements' reliability. Furthermore, the article seeks to develop proposals for improving financial audit methodology. The research was carried out by using general scientific methods of cognition. These include logical and structural analysis, comparison, abstraction, specification, and generalization. The study examines the role of financial audits in ensuring the reliability and accuracy of financial statements in terms of the directionality and functionality of the phenomenon under study. The authors paid special attention to the identification of financial audit's place in the management paradigm under current economic realities. The article generalized the essence of financial statement audit and analyzed its procedures. The authors highlighted the potential risks related to the phenomena of improper implementation of the financial statement audit or neglect of the need for its conduct. In particular, it has been established that the primary negative consequences of such phenomena will affect investment planning and financial stability. The study proves that due to the unstable economic environment, an effective financial audit serves as a prerequisite for improving the quality of financial reporting and optimizing the sectoral management paradigm.

A Study of Demographic Influence on Use of Web-Based Information in Investment Planning for Retirement

A Study of Demographic Influence on Use of Web-Based Information in Investment Planning for Retirement

Dynamic investment planning of CVR implementation considering PEVs’ reactive power compensation capability

AbstractConservation voltage reduction (CVR) is a strategy that tries to save energy consumption by managing consumers’ voltage. On the other hand, enhancing reactive power compensation in the power system gives rise to CVR implementation more effectively. This paper addresses how the power system planner could encourage investment to establish the above‐mentioned topics. Here, a model for encouraging industrial loads to dynamically invest in implementing the CVR strategy over the planning horizon is presented. To make CVR implementation more efficient, investment in upgrading plug‐in electric vehicles (PEVs) chargers to be utilized as reactive power compensators is also considered. Industrial loads benefit from saving in their electricity bills and incentive payments that might be paid by utilities (if necessary). The objective function of the proposed planning model is to maximize the energy‐saving of industrial loads and to minimize incentive payment by electric utilities over the planning horizon. This objective is achieved subject to that the investment plan is economically feasible. Moreover, power system operation constraints in the planning horizon based on AC power flow equations and voltage‐dependent load models are considered. The proposed planning problem is modelled as a non‐linear optimization problem that can be solved by off‐the‐shelf software, for example, GAMS. The proposed model is applied to the Ontario transmission system. The numerical results show the proposed model's effectiveness in designing an investment plan for industrial loads to implement the CVR strategy and upgrade PEVs’ chargers.

Recent Developments in Research on the Impact of ESG on Corporate Value

ESG (Environmental, Social, and Governance) has become an increasingly prominent topic in the investment field. Questions such as whether ESG can create value for companies, the credibility of ESG investments, and whether ESG should be incorporated into my long-term investment plan are crucial considerations. Many scholars have conducted research from various perspectives to address these questions. This article summarizes relevant literature and answers the impact of ESG on corporate value and the factors influencing ESG's impact on corporate value. The research findings are as follows: 1.ESG has a generally positive impact on corporate value, with some factors showing inhibitory effects or no significant correlation.2.ESG primarily affects corporate value through aspects such as market valuation, financing costs, innovation capability, and reputation. 3. The impact of ESG on corporate value varies depending on the ownership structure and industry of the company. Based on these findings, companies should decide whether to enhance their ESG performance based on various factors such as their operational situation, industry composition, and ownership structure.

Deep neural network for investment decision planning on low-carbon transition in power grid

AbstractWith the urgency of mitigating global warming, the low-carbon transformation of power grid systems has emerged as a pivotal industry upgrade for sustainable development. We proposed a novel deep neural network-based approach for investment decision planning in the low-carbon transformation of power grids, which aimed to address multidimensional key indicators related to power grid transformation and provided reliable electricity industry layouts and investment plans for power system investment decisions. To achieve this, three targeted investment branch models were established, encompassing investment behavior, electricity production and consumption, and predictions of new capacity investment. These models effectively tackled challenges associated with power distribution, electricity price scheduling, power carbon quotas, and the feasibility of low-carbon power generation technologies. Subsequently, a global investment decision planning model was constructed, employing spatiotemporal neural networks and recurrent neural networks, which integrated the aforementioned branch models and incorporated existing low-carbon transformation data. A comparative analysis was conducted, examining the predicted results against actual values from three perspectives: power generation portfolio, grid economy, and overall investment decision plans. The results demonstrated the effectiveness of our method in accurately predicting future installed capacity of diverse low-carbon power generation technologies, sustainability indices, and investment returns. Notably, our method achieves an impressive forecasting accuracy of over 90% compared to actual values of investment decision planning over the past 4 years.