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<title>ICMR  2016</title>
<link href="http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1204" rel="alternate"/>
<subtitle>Frist interdisciplinary Conference on Management Research</subtitle>
<id>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1204</id>
<updated>2026-04-11T11:46:13Z</updated>
<dc:date>2026-04-11T11:46:13Z</dc:date>
<entry>
<title>Test of Uncovered Interest Rate Parity for Sri Lanka: Evidence from  LKR/GBP Rate</title>
<link href="http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1543" rel="alternate"/>
<author>
<name>Kaushala, H</name>
</author>
<author>
<name>Rajapakse, C</name>
</author>
<id>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1543</id>
<updated>2021-01-18T05:05:17Z</updated>
<published>2016-10-10T00:00:00Z</published>
<summary type="text">Test of Uncovered Interest Rate Parity for Sri Lanka: Evidence from  LKR/GBP Rate
Kaushala, H; Rajapakse, C
Interest rates and exchange rates are considered to be one of the most discussed areas &#13;
under International Finance. When considering the main theories that explore on these &#13;
two variables, Uncovered Interest Rate Parity (UIP) states that the interest rate &#13;
differential is an unbiased predictor of the spot exchange rate changes. The impact on &#13;
investors’ attitude is that they would be indifferent towards the returns on domestic &#13;
and foreign assets denominated in same currency thereby eliminating any short term &#13;
arbitrage profits. Studies based on the relationship between these two variables are &#13;
rare for developing countries like Sri Lanka. Therefore in order to bridge that gap &#13;
identified through search for literature, this study is focused on testing UIP for Sri &#13;
Lanka. Monthly data on LKR/GBP exchange rate  for the period from 2001-2014  and &#13;
three month interest rate  for the two countries , were used for this purpose. &#13;
Autoregressive Distributed Lags method was employed to test the UIP.  The findings &#13;
reveal that there is no evidence to prove the existence of the UIP for the selected &#13;
currency compared against the Sri Lankan Rupee.
</summary>
<dc:date>2016-10-10T00:00:00Z</dc:date>
</entry>
<entry>
<title>Analysis of Dynamic Linkage of Stock Returns and Exchange Rates:  Comparative Evidence from Sri Lanka and India</title>
<link href="http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1540" rel="alternate"/>
<author>
<name>Wijethunga, A. W. G. C. N</name>
</author>
<author>
<name>Dayaratne, D. A. I</name>
</author>
<id>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1540</id>
<updated>2021-01-18T09:03:27Z</updated>
<published>2016-10-10T00:00:00Z</published>
<summary type="text">Analysis of Dynamic Linkage of Stock Returns and Exchange Rates:  Comparative Evidence from Sri Lanka and India
Wijethunga, A. W. G. C. N; Dayaratne, D. A. I
This study attempts to analyze the dynamic linkage between stock market returns and &#13;
the exchange rate in two South Asian emerging economies: Sri Lanka and India.  We &#13;
employed monthly data of All Share Price Index (ASPI) from Colombo Stock &#13;
Exchange and CNFNIFTY index from the National Stock Exchange of India and &#13;
monthly exchange rate of the US dollar in LKR (USD/LKR) and the US dollar in &#13;
Indian Rupee (USD/INR) for the period 2000 to 2014. First, the study performed &#13;
Augmented Dickey Fuller (ADF) to test the integrating order of the variables. Then, &#13;
we employed Johansen’s Cointegration test to examine the long run relationship &#13;
among variables and Granger causality test to determine causal relationship between &#13;
variables and Ordinary Least Square (OLS) analysis to determine the relationship &#13;
between the stock returns and the exchange rate. The results establish that there is a &#13;
long run equilibrium between variables in Sri Lanka and India. Furthermore, there is &#13;
one-way causality from stock returns to exchange rate in both countries. Finally, the &#13;
results suggest the existence of a negative impact of stock returns on exchange rate &#13;
only in Indian context.
</summary>
<dc:date>2016-10-10T00:00:00Z</dc:date>
</entry>
<entry>
<title>Relationship between Financial Literacy and Financial Behavior of  Management Undergraduates of Sri Lanka</title>
<link href="http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1538" rel="alternate"/>
<author>
<name>Edirisinghe, U. C</name>
</author>
<author>
<name>Amarasinghe, R</name>
</author>
<id>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1538</id>
<updated>2021-01-18T04:24:04Z</updated>
<published>2016-10-10T00:00:00Z</published>
<summary type="text">Relationship between Financial Literacy and Financial Behavior of  Management Undergraduates of Sri Lanka
Edirisinghe, U. C; Amarasinghe, R
Rapid and dynamic developments and innovations injected to the financial markets &#13;
and products, locally and globally has changed the typical dimensions thus increased &#13;
the complexity of day to day financial decisions, where a ordinary financial decision &#13;
has transformed to be more rational, logical and strategic in nature in the modern &#13;
context. Management undergraduates proven to be having an academic appetite to &#13;
these changes and conservatively expect to follow these trends to make sensible &#13;
financial decisions in their day to day lives. The real question is, Is this a myth? or a &#13;
conservative expectation of the society? As an attempt to answer these questions, this &#13;
study is an evaluation to underpin 'the relationship between the financial literacy level &#13;
and the nature of the financial behavior of undergraduates of Sri Lanka. The sample &#13;
selected is 223 management undergraduates. The sampling techniques used is &#13;
convenient sample from three main government universities in Sri Lanka. Knowledge &#13;
on money management, savings, investment, credit and  insurance has been &#13;
considered to measure the financial literacy level and undergraduates current and past &#13;
manners related to same dimensions is used to measure financial behaviour using &#13;
questionnaire. The results suggest that the financial literacy level of the &#13;
undergraduates of the three universities was at a moderate level. Multiple Regression &#13;
Analysis showed that apart from money management financial literacy level on all &#13;
other dimensions has significant positive effect not only on overall financial behavior &#13;
but also on individual dimensions. This concludes that financial literacy on Savings, &#13;
Investments, Insurance, Borrowing and Credit are valid determinants of financial &#13;
behavior of management undergraduates.
</summary>
<dc:date>2016-10-10T00:00:00Z</dc:date>
</entry>
<entry>
<title>Effect of Institutional Excellence on Stock Market Development</title>
<link href="http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1536" rel="alternate"/>
<author>
<name>Peiris, T. U. I</name>
</author>
<id>http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1536</id>
<updated>2021-01-18T04:18:44Z</updated>
<published>2016-10-10T00:00:00Z</published>
<summary type="text">Effect of Institutional Excellence on Stock Market Development
Peiris, T. U. I
Institutional environments with good governance would lead to higher stock market &#13;
returns by reducing both transaction and agency costs. Meanwhile, superior &#13;
institutional environments ensure lower levels of uncertainty, resulting in lower &#13;
returns on equity. Therefore, this study investigates the effect of institutional quality &#13;
on the performance of global stock markets. Due to the persistence behavior of stock &#13;
market development (SMD), a dynamic econometric model is developed in this &#13;
regard. SMD is proxied by market capitalization to GDP ratio. A Proxy for &#13;
institutional quality is obtained by the common component of governance indices that &#13;
measure the effectiveness of government, regulatory quality, extent of corruption &#13;
control, political stability, voice and accountability, and agents’ confidence on the &#13;
rules of the society. Several other empirically chosen variables are also included to the &#13;
model to control the other potential effects. A panel data set of 43 countries over the &#13;
period 2005 to 2013 is measured using Generalized Method of Moment (GMM) &#13;
estimation techniques. Results depict a negatively significant relationship between &#13;
SMD and the institutional quality. The relationship continued to remain negative &#13;
when the model is robusted for developing and developed countries. Interestingly, the &#13;
risk-return spectrum is supported when the model is further robusted for countries &#13;
with strong and weak Institutional environments.
</summary>
<dc:date>2016-10-10T00:00:00Z</dc:date>
</entry>
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