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This paper examines the effectiveness of the three macro-prudential measures introduced by the Korean government in 2010 and 2011: (i) introduction of limit for FX forward positions of domestic banks and foreign bank branches, (ii) reintroduction of tax on foreign investors' earnings from Korean government bonds, and (iii) imposition of macro-prudential stability levy on non-deposit foreign currency liabilities appeared in bank balance sheets. The results show that the three measures were not successful: The limits of FX forward position did not lead to the decrease in foreign borrowings. The reintroduction of the tax did not reduce foreign investments in Korean government bonds. Lastly, the levy on non-deposit foreign currency liabilities did not lower the foreign borrowings from the banks and did not result in more financing through deposits for banks. The ineffectiveness of the capital flow management system in controling the amount of foreign capital flows implies that the system might not be effective in mitigating the pressure on exchange rate caused by excessive volatility of foreign capital flows.

This chapter aims to find an optimal way to hedge foreign exchange exposures on three main currency pairs being the EURUSD, EURGBP and EURJPY. Furthermore, it analyses the risk level of each portfolio together with its kurtosis level. This chapter also looks into the relationship between the EURUSD portfolios and the VIX level.

This study is based on a back-testing analysis over a period of seven years starting in January 2007 and ending in December 2014. Two main Foreign Exchange Premium-Free strategies were structured using the Bloomberg Terminal. These were the ‘At-Expiry Forward Extra’ and the ‘Window Forward Extra’. Portfolios were created using FX options strategies, FX spot and FX forwards. The EURUSD portfolios were also analysed and compared with the VIX level in order to see whether volatility has a direct effect on the outcome of the strategies. The statistical significance of the difference between returns of portfolios was analysed using a paired sample t-test. Finally, the histogram and distribution curve of each portfolio were created and plotted in order to provide a more visual analysis of returns.

It was found that the optimal strategies in all cases were the FX option strategies. The portfolios’ risk was analysed and indicated that optimal portfolios do not necessarily derive the lowest risk. It was also found that with a high VIX level, the forward contract was the most beneficial whilst the option strategy benefited from a low VIX level. When testing for statistical significance between returns of different portfolios, in most cases, the difference in returns between portfolios resulted to be statistically insignificant. Although some similarities were noticed in distribution curves, these differed from the normal distribution. When analysing the kurtosis levels, it is found that such levels differed from that of a normal distribution which has a kurtosis level of 3. Interpretation of such histograms, distribution curves and the kurtosis analysis was explained.

Empirical evidence on the determinants of corporate FX speculation is ambiguous. We note that the conflicting findings of prior studies could be the result of different methodologies in determining speculation. Using a novel approach to defining speculative activities, we seek to help solve the puzzle of the determinants of speculation and examine which firms engage in such activities and why they do so.

This paper examines an unexplored regulatory environment that contains publicly reported FX risk data on the firms' exposures before and after hedging per year and currency. This unprecedented data granularity allows us to use actual reported volumes instead of proxy variables in defining speculation and to examine whether the convexity theories are empirically supported in FX risk management.

We find that frequent speculators are smaller, have more growth opportunities and possess lower internal resources, which indicates unprecedented empirical evidence for the convexity theories in FX risk management. Further, we provide evidence that corporate speculation might be linked to the application of hedge accounting.

We help solve the questions of which and why firms engage in speculative activities. This can provide valuable information to various stakeholders such as financial analysts, investors, or regulators, which can help prevent imperiling corporate losses and curb excessive speculative financial activities.

In order to question the unresolved issue of the determinants of speculation, this paper is the first to use openly available accounting data with actual reported FX exposure information before and after hedging in defining speculation, instead of relying on proxy variables for FX exposure and derivative usage with potential estimation errors.

Foreign exchange risk might exist in any situation where a business' operations can be affected by changes in exchange rates. The objectives of the present paper, are therefore to identify the current state‐of‐practice in managing foreign exchange exposure.

To present a wide perspective the analysis includes questionnaire surveys regarding foreign exchange exposure in three different sectors. The three sectors are: international special purpose companies engaged in project financing; large‐scale international construction companies; and highly export‐oriented small and medium‐sized enterprises, all based in Singapore.

The analysis demonstrates that all three sectors are exposed to a degree of foreign exchange risk. The paper also demonstrates that foreign exchange exposure is not as very well managed as it might be.

The three sectors might have different needs in protecting their cash flow from foreign exchange exposure but the analysis could help them learn from one another in identifying common trends and drawing universal conclusions where appropriate.

To improve on the presently identified state‐of‐practice, various foreign exchange risk mitigation techniques more commonly used, their perceived effectiveness, and factors of concern in using them, are discussed.

The 2007 BIS Triennial Central Bank Survey of Foreign Exchange and Derivatives Market Activity Report shows a substantial increase in turnover in foreign exchange and OTC derivatives markets. Turnover in traditional FX markets increased to reach $3.2 trillion. The largest contributor to this 71% increase between April 2004 and April 2007 occurred in FX swaps. It was like a prelude to the financial crisis of 2007–2008 driven by transactions carried out between banks and other financial institutions due to the significance of hedge funds and major engagement of emerging market currencies which have sought new configurations of portfolio diversification worldwide.

The purpose of this paper is to study the lead-lag relationship between the futures and spot foreign exchange (FX) market in India to understand the price discovery mechanism and the relationship between these two markets.

The estimation of lead-lag relationship is realized in three steps. First unit root and stationarity tests (Augmented Dickey-Fuller, Phillips-Perron, and Kwiatkowski-Phillips-Schmidt-Shin) are applied to check the stationarity of the data. Second, cointegration tests (Engle and Granger’s residual based approach and Johansen’s cointegration test) are applied to determine long run relationship between the markets. Third, error correction estimation is carried out by applying Vector Error Correction Model (VECM) to determine the leading market.

The study finds that there is a long run relationship between the futures and spot market where the futures market has emerged as the leading market for the four currencies studied in the paper.

Majorly, the studies on Indian FX market limit themselves to identifying the efficiency of the market and the studies which talk about the lead-lag relationship focus on the Indian stock market. This paper enhances the existing literature on Indian FX market by exploring the less explored subject of the lead-lag relationship between futures and spot FX market in India.

Corporate treasurers manage the currency risk of their organization by hedging through futures contracts. The purpose of this paper is to evaluate the effectiveness of hedging by US currency futures contracts by taking into account the efficiency of the currency market.

The static models for calculating hedge ratio are as popular as dynamic models. But the main disadvantage with the static models is that they do not consider important properties of time series like autocorrelation and heteroskedasticity of the residuals and also ignore the cointegration of the market variables which indicate short-run market disequilibrium. The present study, therefore, measures the hedging effectiveness in the US currency futures market using two dynamic models – constant conditional correlation multivariate generalized ARCH (CCC-MGARCH) and dynamic conditional correlation multivariate GARCH (DCC-MGARCH).

The study finds that both the dynamic models used in the study provide similar results. The relative comparison of CCC-MGARCH and DCC-MGARCH models shows that CCC-MGARCH provides better hedging effectiveness result, and thus, should be preferred over the other model.

The findings of the study are important for the company treasurers since the new updated Indian accounting standards (Ind-AS), applicable from the financial year 2016–2017, make it mandatory for the companies to evaluate the effectiveness of hedges. These standards do not specify a quantitative method of evaluation but provide the flexibility to the companies in choosing an appropriate method which justifies their risk management objective. These results are also useful for the policy makers as they can specify and list the appropriate methods for evaluating the hedge effectiveness in the currency market.

Majorly, the studies on Indian financial market limit themselves to either examining the efficiency of that market or to evaluate the effectiveness of the hedges undertaken. Moreover, most of such works focus on the stock market or the commodity market in India. This is one of the first studies which bring together the concepts of efficiency of the market and effectiveness of the hedges in the Indian currency futures market.

This study aims to attempt to understand the joint co-movement of bank deposit rate and its main underlying determinants (foreign exchange rate (FX) rate, cross-currency swap rate and implied forward rate). The authors also compare time and frequency variant approaches in this dynamic.

The authors examine bank deposit rates where multiple variables jointly interact, and the integration is time and frequency variant. The study applies both cointegration and wavelet coherence methods and conducts a comparative analysis. It investigates eight markets over 2005–2020 aiming to capture the impact of changing market conditions and degree of development.

The results are in line with cross-country interdependence, where we observe more robust evidence for co-movement during adverse economic conditions with higher correlation compared to other periods such as the 2007–2009 US mortgage crises, 2010–2012 Euro crises and 2019 pandemic. Moreover, wavelet analysis suggests deposit rate lags FX rate and leads cross-country swap rate. The USA arguably leads the co-movement accompanied briefly by Japan and followed closely by other developed markets and later the developing markets. Heat maps suggest clustering of countries.

The wavelet coherence's ability to indicate the periods and the frequencies of the relationship is essential to capture the true nature of the relationship. Such additional insight would enable the practitioners to determine the true price of the deposit rate.

The study captures the long suggested collective nature of three main underlying determinants of bank deposit. The results shed light on the order of dynamics in a complex bank deposit environment. Comparative analysis further highlights the valuable insight quadruple wavelet coherence provides.

The purpose of this paper is to investigate the extent to which multilateral banks (MBs) use currency derivatives (CDs) to hedge and speculate in managing currency risk. It aims to provide an empirical assessment of CDs products used by MBs as a group not studied before.

Quantitative hypothesis regarding the usage of CDs to minimize adverse impact of currency risk was tested using z test about population proportion.

The results show that MBs are using CDs in the following order of importance: currency swaps, currency forwards, currency options and currency futures primarily to hedge currency risk.

The results of the study can be generalized only for MBs, given their peculiar characteristics as wholesale banks, which are owned mainly by governments and are generally not listed in the stock exchanges.

The study is of value to those interested in the multilateral banking industry. The authors acknowledge that it is the first study providing empirical evidence on CDs’ usage by MBs as a group. The results are particularly useful to managers of MBs in terms of helping them to make choices in usage of CDs. The paper has also policy implications in terms of justifying the current self-regulatory status, shareholder monitoring and governance of MBs, as they do not speculate with CDs.