Financial Engineering by City Governments: Factors Associated with the Use of Debt-Related Derivatives

2018 ◽  
Vol 56 (3) ◽  
pp. 857-887 ◽  
Author(s):  
Akheil Singla ◽  
Martin J. Luby

Despite significant coverage in the financial press in recent years, financial engineering by city governments via the use of financial derivatives such as interest rate swaps remain an understudied area of urban financial policy. Indeed, press accounts and other case or conceptual urban studies research emphasizing the downside of these transactions are some of the only sources of information on these instruments. These stories and studies often allude to or speculate on a more basic question: Why would a government choose to enter into a complex financial instrument like a debt-related derivative? This research posits three exploratory hypotheses—financial health, financial experience and/or financial sector influence, and governance structure—culled from media accounts and the urban studies literature on the use of debt-related derivatives by city governments in the United States. It empirically explores these hypotheses by examining the various fiscal, financial, and issuer characteristics of the largest 50 U.S. cities and their choice of whether to use debt-related derivatives. The research finds that the characteristics of government most associated with debt-related derivative use are declining financial condition, increased financial experience and/or financial sector influence, and prior use of interest rate swaps.

2021 ◽  
pp. 99-107
Author(s):  
Fakhraddin Akhmedov ◽  
Mhd Zeitoun ◽  
Humssi Al

The banking system is affected by uncertainties related to the evolution of pandemic. One of the identified risks is that of a fluctuation of rates. Volatility of Interest rates is one of the major risks for the banking system. Therefore, financial engineering can be used as a very important hedging practice for banks against such a risk. The aim of this study is to develop a risk hedging mechanism to better overcome market volatility by hedging position against the exposure to interest rate risk based on credit derivatives. Therefore, this study uses Interest Rate Swaps (IRS)s to better hedge the exposure of banks to interest rate fluctuations in stress conditions giving consideration to the case study of banks in Syria in optimizing hedging practices based on Interest Rate Swaps. The aim is to use financial engineering to provide banks with a hedging technique to better absorb shocks in times of stress conditions. This has been discussed and illustrated with visual model diagrams. The case study of banks in Syria is not just the story of individual banks but a window into how to hedge the exposure of banks in stress conditions. In the end, most banking crises are quite similar. The recommendations set out in this study provide banks with an optimized hedging practice which is not part of current financial engineering at banks in Syria.


2018 ◽  
Vol 55 (1) ◽  
pp. 159-192 ◽  
Author(s):  
Evangelos Benos ◽  
Richard Payne ◽  
Michalis Vasios

We use proprietary transaction data on interest rate swaps to assess the effects of centralized trading, as mandated by Dodd–Frank, on market quality. Contracts with the most extensive centralized trading see liquidity metrics improve by between 12% and 19% relative to those of a control group. This is driven by a clear increase in competition between dealers, particularly in U.S. markets. Additionally, centralized trading has caused interdealer trading in EUR swap markets to migrate from the United States to Europe. This is consistent with swap dealers attempting to avoid being captured by the trade mandate in order to maintain market power.


Author(s):  
Michael W. Faulkender ◽  
Nicole Thorne Jenkins ◽  
Chandra Seethamraju

2018 ◽  
Vol 9 (3) ◽  
pp. 247-253 ◽  
Author(s):  
Edward Adedoyin Adebowale ◽  
Akindele Iyiola Akosile

This research investigated the effect of interest rate and foreign exchange rate on stock market development in Nigeria. This research was centered on two research problems. First, it was whether interest rate had a significant effect on stock market development in Nigeria. Second, it was whether foreign exchange rate had a significant impact on stock market development in Nigeria. The scope of the research covered the period from 1981 to 2017. Data for this period were chosen because it covered pre and post-liberalization periods of Nigerian financial system. This research made use of ex post facto research design. Secondary data were sourced from Nigerian Stock Exchange reports, Central Bank of Nigeria statistical bulletins, and National Bureau of Statistics publications. Data were collected on Stock Market Capitalization (SMC), Prime Lending Rate (PLR) and Real Exchange Rate (RER) (Nigerian Naira in relation to American Dollars of the United States). Data analysis was carried out with Ordinary Least Squares (OLS) and Cochrane-Orcutt Iterative techniques. The findings reveal that interest rate has a significant negative effect, and foreign exchange rate has a significant positive effect on Nigerian stock market development during the period covered. It is suggested that monetary authorities should strive to formulate policies that will make interest and foreign exchange rates stable, competitive, and at a level that will stimulate the investment of funds in the stock market.


Mathematics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 112
Author(s):  
Dariusz Gatarek ◽  
Juliusz Jabłecki

Bermudan swaptions are options on interest rate swaps which can be exercised on one or more dates before the final maturity of the swap. Because the exercise boundary between the continuation area and stopping area is inherently complex and multi-dimensional for interest rate products, there is an inherent “tug of war” between the pursuit of calibration and pricing precision, tractability, and implementation efficiency. After reviewing the main ideas and implementation techniques underlying both single- and multi-factor models, we offer our own approach based on dimension reduction via Markovian projection. Specifically, on the theoretical side, we provide a reinterpretation and extension of the classic result due to Gyöngy which covers non-probabilistic, discounted, distributions relevant in option pricing. Thus, we show that for purposes of swaption pricing, a potentially complex and multidimensional process for the underlying swap rate can be collapsed to a one-dimensional one. The empirical contribution of the paper consists in demonstrating that even though we only match the marginal distributions of the two processes, Bermudan swaptions prices calculated using such an approach appear well-behaved and closely aligned to counterparts from more sophisticated models.


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