<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>DSpace Community:</title>
  <link rel="alternate" href="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/88" />
  <subtitle />
  <id>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/88</id>
  <updated>2026-06-23T18:29:07Z</updated>
  <dc:date>2026-06-23T18:29:07Z</dc:date>
  <entry>
    <title>Dynamic Relationship Between Energy Consumption and Economic Growth Incorporating a Structural Break: An Empirical Study of Sri Lanka</title>
    <link rel="alternate" href="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12722" />
    <author>
      <name>Neruja, N.</name>
    </author>
    <author>
      <name>Yadhurshini, S.</name>
    </author>
    <id>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12722</id>
    <updated>2026-06-19T06:44:19Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Dynamic Relationship Between Energy Consumption and Economic Growth Incorporating a Structural Break: An Empirical Study of Sri Lanka
Authors: Neruja, N.; Yadhurshini, S.
Abstract: The interplay of several severe internal and external shocks has posed substantial challenges to&#xD;
the stability of the Sri Lankan economy. Therefore, this study investigates the presence of&#xD;
structural breaks in the relationship between energy consumption and economic growth in Sri&#xD;
Lanka, using annual data from 1990 to 2023. In addition to energy consumption and economic&#xD;
growth, gross fixed capital formation and labour force participation are incorporated as key&#xD;
explanatory variables. The Chow test is applied to identify structural breaks, and the VAR Granger&#xD;
causality test is used to examine the direction of causality between the variables. Also, the ARDL&#xD;
bound test is used to identify the cointegration relationship between energy consumption and&#xD;
economic growth, incorporating structural breaks. The Chow test results indicate the presence of&#xD;
structural breaks in 2004, 2008, 2020, and 2022 periods. These breakpoints align with major&#xD;
economic and environmental shocks, including the 2004 Indian Ocean tsunami, the 2008 global&#xD;
financial crisis, the COVID-19 pandemic, and the recent economic crisis in Sri Lanka. The results&#xD;
of the Zivod-Andrews test indicate that economic growth, energy consumption, and labour force&#xD;
participation are stationary variables in first difference I(1). On the other hand, Gross fixed capital&#xD;
formation is found to be stationary at level I(0). The VAR Granger causality test shows no shortterm&#xD;
causal relationship between energy consumption and economic growth in the absence of&#xD;
structural breaks. However, a short-run unidirectional causal relationship exists when&#xD;
considering structural breaks. The empirical findings show that the variables in the study are&#xD;
cointegrated, indicating the existence of a long-run relationship among them. The ARDL bounds&#xD;
test shows a positive long-run impact of energy consumption on economic growth; this&#xD;
relationship does not hold in the short run. Notably, when structural breaks are considered,&#xD;
energy consumption negatively impacts economic growth in the short run, while its long-term&#xD;
impact becomes statistically insignificant. These findings suggest that external and internal&#xD;
shocks have disrupted the energy growth nexus in Sri Lanka. This study offers new insights for&#xD;
policymakers to account for structural breaks in policy formulation to address the short-run&#xD;
adverse impact of energy consumption on economic growth.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A Comparative Analysis of E-GARCH and MIDAS Models for Stock Price Prediction in Sri Lanka</title>
    <link rel="alternate" href="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12721" />
    <author>
      <name>Neruja, N.</name>
    </author>
    <author>
      <name>Shalini, M.</name>
    </author>
    <id>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12721</id>
    <updated>2026-06-19T06:37:23Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: A Comparative Analysis of E-GARCH and MIDAS Models for Stock Price Prediction in Sri Lanka
Authors: Neruja, N.; Shalini, M.
Abstract: Stock market price fluctuations, driven by internal and external uncertainties, can undermine&#xD;
investor confidence and complicate investment decision-making. This study compares the&#xD;
forecasting accuracy of the Exponential Generalised Autoregressive Conditional&#xD;
Heteroskedasticity (E-GARCH) and Mixed Data Sampling (MIDAS) models in predicting the All&#xD;
Share Price Index (ASPI) in Sri Lanka. The analysis was conducted using EViews and Python&#xD;
software. Monthly ASPI data and quarterly Standing Lending Facility Rate (SLFR) data, covering&#xD;
January 2018 to December 2024, were obtained from the Colombo Stock Exchange and the&#xD;
Central Bank of Sri Lanka. Stationarity was assessed using the ADF and KPSS tests, and all&#xD;
variables were found to be integrated of order one (I(1)). The E-GARCH model produced a&#xD;
forecasted return of only 0.39%, whereas the MIDAS model predicted an average return of 4.65%&#xD;
for the ASPI from January to December 2025. Notably, the MIDAS forecast aligned with the actual&#xD;
return range of 3% to 5% recorded from January to May 2025, highlighting its practical relevance.&#xD;
Forecast evaluation further confirms this result, as the MIDAS model achieved a low MAPE of&#xD;
2.30%, with MAE and RMSE below 1%, indicating high predictive accuracy. In contrast, the EGARCH&#xD;
model generated comparatively higher forecast errors, reflecting weaker performance.&#xD;
Overall, the findings demonstrate that the MIDAS model outperforms the E-GARCH model in&#xD;
forecasting ASPI values. These results provide valuable implications for investors, financial&#xD;
analysts, and policymakers by emphasising the advantages of mixed-frequency forecasting in&#xD;
enhancing investor confidence, supporting informed policy decisions, and promoting sustainable&#xD;
economic growth in Sri Lanka.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The Dynamic Relationship between General, Food and Non-food Price Volatility in Sri Lanka</title>
    <link rel="alternate" href="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12720" />
    <author>
      <name>Neruja, N.</name>
    </author>
    <author>
      <name>Gayathiri, B.</name>
    </author>
    <id>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12720</id>
    <updated>2026-06-19T06:31:00Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: The Dynamic Relationship between General, Food and Non-food Price Volatility in Sri Lanka
Authors: Neruja, N.; Gayathiri, B.
Abstract: Price volatility has become a critical macroeconomic challenge in Sri Lanka, as persistent&#xD;
fluctuations in food and non-food prices and exchange rates continue to intensify inflationary&#xD;
pressures and erode household welfare. This study examines the dynamic relationship between&#xD;
food price volatility and general price volatility in Sri Lanka, while explicitly evaluating Walsh’s&#xD;
(2011) three key assumptions, namely that food inflation is sustained, persistent, and has secondround&#xD;
effects. Assessing these assumptions enables the study to determine whether excluding&#xD;
food price from core inflation is appropriate in the Sri Lankan context. The analysis begins with&#xD;
the Pairwise Granger causality test to identify the direction of predictive relationships among the&#xD;
variables. Based on this, the ARDL bounds testing approach and error correction models are&#xD;
employed to capture both long-run and short-run dynamics, using monthly data from January&#xD;
2014 to May 2025 obtained from the Department of Census and Statistics (DCS) and the Central&#xD;
Bank of Sri Lanka (CBSL). In addition, Impulse Response Functions (IRF) and Variance&#xD;
Decomposition analyses are used to trace the transmission of shocks and to quantify the relative&#xD;
importance of food, non-food, and exchange rate volatility to general price instability over time.&#xD;
The Bai– Perron multiple breakpoint tests identify several structural shifts and confirm a mix of&#xD;
I(0) and I(1) processes, validating the use of the ARDL framework. Empirical results reveal a&#xD;
strong long-run cointegrating relationship between food price volatility and general price&#xD;
volatility, indicating that food price shocks exert a persistent and significant influence on general&#xD;
price volatility. The Impulse Response Function (IRF) and Variance Decomposition analyses&#xD;
further show that food price volatility is the most influential driver of general price fluctuations,&#xD;
accounting for nearly 19% of the variation in the final forecast horizon. Overall, the findings&#xD;
identify food price volatility as the central determinant of price instability in Sri Lanka and&#xD;
provide empirical support for Walsh’s (2011) argument that excluding food from core inflation is&#xD;
inappropriate in economies where food prices are structurally persistent. These findings&#xD;
highlight the need for policies aimed at stabilising food markets, safeguarding vulnerable&#xD;
households, and restructuring core inflation measures to capture true inflationary pressures&#xD;
more accurately.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Dignity at Work: Integrating Christian Social Teachings and Sustainable  Development Goals in the Labour Landscape of Sri Lanka</title>
    <link rel="alternate" href="http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12719" />
    <author>
      <name>Paul Rohan, J.C.</name>
    </author>
    <id>http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12719</id>
    <updated>2026-06-17T05:49:54Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Dignity at Work: Integrating Christian Social Teachings and Sustainable  Development Goals in the Labour Landscape of Sri Lanka
Authors: Paul Rohan, J.C.
Abstract: This article explores the concept of  ̳work with dignity ̳ in Sri Lanka through an&#xD;
interdisciplinary integration of Christian Social Teaching (CST) and the United Nations&#xD;
Sustainable Development Goals (SDGs), particularly SDG 8.5, which targets full and&#xD;
productive employment, decent work, and equal pay for all. Drawing on foundational CST&#xD;
encyclicals such as Rerum Novarum (1891), Laborem Exercens (1981), and Fratelli Tutti&#xD;
(2020), it posits work as a divine vocation that affirms human dignity, critiques exploitative&#xD;
systems, and promotes solidarity, subsidiarity, and the common good. In Sri Lanka ̳s labour&#xD;
landscape - marked by colonial legacies, ethnic conflicts, the Covid-19 pandemic, the 2022&#xD;
economic crisis, and persistent inequities in plantations, garments, and informal sectors -&#xD;
these principles address structural challenges like gender wage gaps (20 - 30%), informal&#xD;
employment (over 60%), and minority discrimination. By synthesising theological ethics with&#xD;
empirical data and International Labour Organization (ILO) frameworks, the analysis&#xD;
identifies convergences between CST ̳s moral imperatives and SDG 8.5 ̳s policy targets,&#xD;
&#xD;
proposing pathways for ethical reforms: community cooperatives for full employment, rights-&#xD;
based protections for decent work, and justice-oriented audits for equal pay. This holistic&#xD;
&#xD;
approach transcends economic metrics, envisioning labour as integral to human flourishing.&#xD;
Ultimately, the integration offers Sri Lanka a transformative agenda, enriching SDG&#xD;
implementation with CST ̳s prophetic vision to foster just, sustainable economies rooted in&#xD;
the inherent worth of every worker.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
</feed>

