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Claim analyzed
Finance“Exchange rate volatility moderates the relationship between foreign portfolio investment and stock market returns at the Colombo Stock Exchange in Sri Lanka.”
The conclusion
No study in the available evidence actually tests whether exchange-rate volatility moderates the relationship between foreign portfolio investment and stock market returns at the Colombo Stock Exchange. Existing research examines these variables in separate, bilateral analyses—exchange-rate volatility versus returns, or exchange rates versus FPI—but none estimates the interaction term required to establish moderation. The claim presents an untested inference as an empirical finding, which the evidence does not support.
Based on 25 sources: 2 supporting, 1 refuting, 22 neutral.
Caveats
- No cited source tests an interaction effect (FPI × exchange-rate volatility) on CSE returns, which is the statistical requirement for a moderation claim.
- The proponent's reasoning commits a 'correlation implies moderation' fallacy: showing that volatility correlates with both FPI and stock returns separately does not establish that it moderates the relationship between them.
- The claim omits critical specifics—time period, return measure (ASPI vs S&P SL20), volatility measure, and Sri Lanka's shifting exchange-rate regime—all of which would materially affect whether any moderation effect could be detected.
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Sources
Sources used in the analysis
According to operational instructions issued by the Central Bank of Sri Lanka on 2023-03-03, the publication of the US Dollar/Sri Lankan Rupee mid-spot exchange rate and its volatility band was suspended from 2023-03-07. The representative spot exchange rate for the US Dollar is the volume-weighted average value of all spot transactions in the domestic interbank spot foreign exchange market relative to the US Dollar.
Financial institutions' exposure to the stock market through investments and lending remains at low levels, so the impact on financial system stability from stock market activities is relatively low.
Annual Reports of the Central Bank of Sri Lanka provide data on exchange rates, foreign investment flows including portfolio investments, and stock market performance at CSE. They note impacts of exchange rate movements on capital markets but do not include empirical moderation analysis of volatility between FPI and returns.
The Department of Foreign Exchange was established under the Foreign Exchange Act No. 12 of 2017. Its vision is to be a strategic partner linked to the market economy in developing an efficient, appropriate, and orderly foreign exchange market that contributes to Sri Lanka's economic prosperity. This includes facilitating foreign exchange flows for investments within legal permissions and engaging in continuous research to expand knowledge and analytical capabilities in foreign exchange management.
Political risk and uncertainty – including the risk of expropriation, nationalization, and political force majeure – is moderate in Sri Lanka, but investment disputes can arise from government intervention in commercial disputes, judicial inefficiencies, and corruption.
The Central Bank of Sri Lanka (CBSL) compiles and disseminates statistics under the provisions of the Monetary Law Act, Section 35. Data on sales and purchases of equity securities and the outstanding position of the stock position held by non-residents are obtained from the Colombo Stock Exchange for portfolio investment.
Accurate understanding and modelling of exchange rate volatility is important due to its microeconomic impact on portfolio choice, pricing of assets and risk management at the firm level, and its macroeconomic significance for capital mobility, growth, trade flows, and direct investments.
During the year under review, the Securities and Exchange Commission approved guidelines to be followed by stock broking companies. The Securities and Exchange Commission and the Colombo Stock Exchange have jointly issued guidelines for stock broking companies.
This paper examines the impact of exchange rates on the S&P SL20 index in Sri Lanka, using a GARCH model to capture the effect of the volatility of exchange rates on stock market returns. The findings indicate that the USD has a significant negative impact, and the GARCH model confirms volatility clusters, emphasizing the strong influence of the USD.
Volatile exchange rates can erode investment returns when denominated in foreign currencies, leading investors to demand higher risk premiums or seek safer assets. Moreover, weak institutional frameworks and limited monetary policy effectiveness in these economies exacerbate the risks associated with currency fluctuations. Empirical evidence suggests that excessive volatility discourages long-term FPI, while moderate fluctuations may create arbitrage opportunities for short-term speculators.
Overall, exchange rate volatility remained at low levels this year, and liquidity conditions in the domestic interbank foreign exchange market further improved. The Colombo Stock Exchange (CSE) recorded strong growth during this period, despite a net foreign outflow of USD 127.7 million. In 2025, cumulative net foreign inflows were recorded in the secondary market for government securities.
significant negative relationship between host country stock market valuations and FDI in the context of Sri Lanka and other countries with under-developed stock markets. These results indicate that cheap assets hypothesis (and expensive assets hypothesis) is likely to be applicable in the context of countries with under-developed stock markets, and therefore, in the context of Sri Lanka. Weak institutional environment, poorly managed exchange rate policy and poor infrastructure appear to be major issues in terms of boosting future FDI inflows to Sri Lanka.
He emphasized that the central bank has moved away from fixing currency levels, establishing a stable, flexible exchange rate regime that eliminates balance of payment crisis risks. He also noted that regulatory reforms, including single borrower limit exposure rules, will drive large corporates and state-owned enterprises to raise capital through the capital market. Despite the recent rally, he emphasized that Sri Lanka’s equity market remains structurally undervalued and under-invested by foreign investors.
This research aims to identify the impact of the exchange rate on the performance of the Colombo Stock Exchange (CSE). The results suggest that there is no correlation between exchange rate and all share price indexes in the long run, whereas there is a positive relationship between exchange rate and all share price indexes in the short run. The Granger causality test indicates a unidirectional causality between the price index of all stocks and the exchange rate.
The paper investigates the effects of the exchange rates (USD, GBP, EUR and JPY) on stock market returns (ASPI and S&P SL20) by using monthly time series data in Sri Lanka, over the period of June 2012 to December 2018. This study uses correlation and multiple regression techniques of measuring the relationship between the variables. According to application results, the USD has negative significant relationship with ASPI and S&P SL20 while GBP and JPY have positive significant relationship with SPI and S&P SL20. Overall, the findings of the study highlighted that the exchange rate volatility is highly associated with another determinant of stock market return volatility.
This research examines the factors that influence foreign portfolio investment (FPI) in the Colombo Stock Exchange from 2011 to 2022. Findings from the study's regression analysis revealed that the foreign exchange rate has a negative and significant impact on FPI.
This study analyzes the relationship between exchange rates and Colombo Stock market returns, finding that the USD has a negative significant relationship with ASPI and S&PSL20, while GBP and JPY have a positive significant relationship. Overall, the findings highlight that exchange rate volatility is highly associated with another determinant of stock market return volatility.
This research aims to investigate the influence of stock market volatility and liquidity turnover on returns in the emerging markets of Middle East and North Africa (MENA countries) using the interaction of global economic policy uncertainty index and exchange rate as a moderating variable. The findings suggest that the negative and significant interaction coefficient between the variables of exchange rate fluctuations and worldwide economic policy uncertainty indicates that stock returns of the MENA markets dropped substantially in response to international economic policy uncertainty; the more extensively the exchange rate fluctuated, the lower were the returns.
The objective of this study is to empirically investigate the effects of exchange rate volatility on stock market return volatility from listed companies in Sri Lanka. This study utilizes daily time series data for the All Share Price Index (ASPI) returns of the Colombo Stock Exchange (CSE) and exchange rates over a period of seven years from January 2011 to December 2017. The empirical results of the study reveal that the volatility of Euro, Japan Yen, and US Dollars exchange rates has a positive and significant impact on ASPI return. Overall, the finding of the study highlight that exchange rate volatility is a determinant of stock market return volatility.
Thus, main objective of this study is to identify the effect of foreign exchange market returns on stock market performance in Sri Lanka. Researcher used publicly available secondary data from Colombo Stock Exchange and Central Bank of Sri Lanka. According to Guneratne (2011), exchange rate has a strong explanatory power in determining the stock market returns of the country. Findings of this research provide valuable information to investors in equity markets, to forecast potential stock returns with reference to exchange market fluctuations.
Market volatility induces foreign investors to sell more than purchase the shares in the share market, suggesting positive trading feedback from foreign investors. Secondly, the ARCH model Results show that All share price indices (ASPI) and foreign net purchases are influenced by the magnitude of past errors in predicting returns of foreign trading activity.
This study investigates the link between exchange rates and stock market performance in Colombo. Using monthly time series data in Sri Lanka from June 2012 to December 2020, the study analyzes the impact of exchange rates (USD, GBP, EUR, and JPY) on stock market returns (ASPI and S&PSL20). According to findings, GBP showed a weak positive significant relationship with ASPI and S&PSL20, and the EUR have a non-significant positive correlation with ASPI and S&PSL20. Moreover, it suggests a weak negative correlation with ASPI and S&P SL20. Finally, the study concludes that GBP has a significant impact on stock market performance in Sri Lanka.
This study aims to examine the effect of exchange rate volatility on the stock market return volatility of the Colombo Stock Exchange, focusing on the structural break in the US Dollar (USD) exchange rates in terms of Sri Lankan Rupee (LKR). The study utilised weekly data from 1997 to 2017 and employed the Generalised Auto-Regressive Conditional Heteroscedasticity (GARCH) model. The study found that Sri Lankan stock market is affected by the currency market volatility, but the effect is not homogeneous throughout the extended period of the data, instead, it varies in different SBPs.
Central Bank of Sri Lanka (CBSL) annual reports document exchange rate fluctuations and their general impact on the economy, including stock market performance at the Colombo Stock Exchange, but do not specifically test for moderation effects of volatility on foreign portfolio investment and returns. CBSL data is primary source for exchange rates and economic indicators influencing CSE, showing correlations but no moderation analysis involving FPI.
This study investigates the stock market reaction to the unexpected events from January 2018 to July 2022 in the Colombo Stock Exchange (CSE), Sri Lanka.
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Expert review
How each expert evaluated the evidence and arguments
Expert 1 — The Logic Examiner
The proponent's logical chain attempts to infer moderation from the co-presence of exchange rate volatility effects on both FPI (Source 16) and stock returns (Sources 9, 23), but this commits a classic inferential fallacy: demonstrating that variable C correlates with both A and B does not logically establish that C moderates the A→B relationship — moderation requires a tested interaction effect (A×C predicting B), which no source in the evidence pool provides for the CSE context. The opponent correctly identifies this gap: Sources 3 and 24 explicitly confirm that no empirical moderation analysis of volatility between FPI and returns exists in CBSL data, and the academic studies (Sources 14, 15, 19, 22, 23) only test bilateral or direct relationships without the requisite interaction term — meaning the specific claim of moderation is an unsupported inferential leap beyond what the evidence demonstrates, rendering the claim misleading rather than false outright, since the underlying mechanism is theoretically plausible and partially supported by general evidence from MENA markets (Source 18) and global FPI literature (Source 10).
Expert 2 — The Context Analyst
The claim is framed as a specific empirical finding (“moderates the relationship”) for the Colombo Stock Exchange, but the provided Sri Lanka/CSE sources only establish separate direct links (exchange-rate volatility ↔ returns in Sources 9, 15, 19, 23; exchange rate ↔ FPI in Source 16) and explicitly note the absence of an interaction/moderation test in the main official data/reporting context (Source 3; echoed by Source 24). With full context restored, the evidence supports plausibility/mechanism but not the asserted CSE-specific moderation effect, so the overall impression is that a demonstrated moderation result exists when it does not.
Expert 3 — The Source Auditor
The highest-reliability sources here (CBSL Annual Reports page, Source 3; IMF DSBB metadata on portfolio investment statistics, Source 6; CBSL exchange-rate volatility policy presentation, Source 7) provide background data and general mechanisms but do not report any empirical finding that exchange-rate volatility moderates (i.e., an interaction effect on) the FPI–stock-returns relationship at the Colombo Stock Exchange; the academic items cited (e.g., Source 9, Source 15/17, Source 23, Source 16) study exchange rates/volatility vs returns or FX vs FPI separately, not the moderation claim. Because no independent, high-authority or clearly peer-reviewed CSE-specific study in the pool actually tests and confirms the moderation effect, the trustworthy evidence fails to support the claim and the pro side relies on inference rather than demonstrated results.
Expert summary
The arguments
Two AI advocates debated this claim using the research gathered.
Argument for
Exchange-rate volatility is a proven driver of CSE return dynamics (e.g., GARCH evidence of significant volatility effects on S&P SL20/ASPI returns in Sri Lanka: Source 9; time-varying effects across structural-break periods: Source 23), and exchange rates also significantly shape foreign portfolio investment into the Colombo Stock Exchange (negative, significant impact on FPI over 2011–2022: Source 16). Given that volatility affects both the independent variable (FPI) and the dependent variable (stock returns), and CBSL itself emphasizes exchange-rate volatility's role in portfolio choice and asset pricing (Source 7) while CBSL/IMF-linked statistics directly connect nonresident portfolio flows to CSE outcomes (Sources 3 and 6), the most coherent inference is that exchange-rate volatility conditions—i.e., moderates—the strength and/or sign of the FPI–returns relationship at the CSE.
Your argument commits a textbook logical fallacy — specifically, the "correlation implies moderation" fallacy: the fact that exchange rate volatility affects FPI (Source 16) and also affects stock returns (Source 9, Source 23) does not logically entail that it moderates the relationship between FPI and returns, as moderation requires a tested interaction effect, not merely shared correlates. Your reliance on Source 7's general statement about volatility's role in "portfolio choice and asset pricing" is particularly weak, as that CBSL document addresses broad macroeconomic implications of exchange rate volatility for monetary policy — not an empirical moderation analysis at the CSE — and Source 3 explicitly confirms that CBSL reports "do not include empirical moderation analysis of volatility between FPI and returns," meaning your entire case rests on inference and analogy rather than any demonstrated statistical evidence.
Argument against
The claim that exchange rate volatility specifically moderates the relationship between foreign portfolio investment and stock market returns at the CSE is unsupported by the available evidence, as Source 3 (Central Bank of Sri Lanka Annual Reports) explicitly states that while exchange rate movements impact capital markets, the reports "do not include empirical moderation analysis of volatility between FPI and returns," and Source 24 (LLM Background Knowledge) similarly confirms that CBSL data shows "correlations but no moderation analysis involving FPI." The studies that do exist — including Source 14 (IDEAS/RePEc), Source 15 (South Eastern University of Sri Lanka), and Source 23 (Academy of Business & Economics) — only examine direct or bilateral relationships between exchange rates and stock returns without testing the specific moderating role of volatility in the FPI-returns nexus, meaning the claim asserts a precise statistical moderation effect for which no empirical evidence from the CSE context has been demonstrated.
Your argument commits an argument-from-silence fallacy: Source 3 and Source 24 merely note CBSL reports don't run a moderation regression, but that absence doesn't negate the well-documented mechanisms that exchange-rate volatility affects asset pricing/portfolio choice (Source 7), stock-return dynamics (Sources 9, 23), and FPI behavior (Source 16)—the exact preconditions for moderation. And by focusing only on studies that didn't include an interaction term, you ignore that the motion is about whether volatility conditions the FPI→returns link at the CSE, which is the most coherent inference when the same volatility shock simultaneously shifts foreign flows and return volatility in the Sri Lankan market setting (Sources 9, 16, 23).