All Outputs (7)

Using Diverse Local Optima for Setting Kernel Parameters in Support Vector Regression: Forecasting Emerging Market Credit Spreads (2024)
Working Paper
Anderson, G., & Audzeyeva, A. (2024). Using Diverse Local Optima for Setting Kernel Parameters in Support Vector Regression: Forecasting Emerging Market Credit Spreads

We propose a novel approach for determining support vector regression (SVR) kernel parameters in the presence of multiple local optima. In contrast to existing approaches focusing on identifying a single "best" tuning parameter setting, an impractica... Read More about Using Diverse Local Optima for Setting Kernel Parameters in Support Vector Regression: Forecasting Emerging Market Credit Spreads.

Fundamentals, real-time uncertainty and CDS index spreads (2023)
Journal Article
Audzeyeva, A., & Wang, X. (2023). Fundamentals, real-time uncertainty and CDS index spreads. Review of Quantitative Finance and Accounting, 61(1), 1-33. https://doi.org/10.1007/s11156-023-01127-6

The high level of economic uncertainty linked to the pace of the recovery process can persist after a crisis and has implications for the market pricing of firms’ credit risk reflected in credit default swap (CDS) spreads. This paper examines the rol... Read More about Fundamentals, real-time uncertainty and CDS index spreads.

A Coherent Framework for Predicting Emerging Market Credit Spreads with Support Vector Regression (2019)
Journal Article
Anderson, G., & Audzeyeva, A. (2019). A Coherent Framework for Predicting Emerging Market Credit Spreads with Support Vector Regression. https://doi.org/10.17016/FEDS.2019.074

We propose a coherent framework using support vector regression (SRV) for generating and ranking a set of high quality models for predicting emerging market sovereign credit spreads. Our framework adapts a global optimization algorithm employing an h... Read More about A Coherent Framework for Predicting Emerging Market Credit Spreads with Support Vector Regression.

On the predictability of emerging market sovereign credit spreads (2018)
Journal Article
Audzeyeva. (2018). On the predictability of emerging market sovereign credit spreads. Journal of International Money and Finance, 140 - 157. https://doi.org/10.1016/j.jimonfin.2018.07.005

This paper examines the quarter-ahead out-of-sample predictability of Brazil, Mexico, the Philippines and Turkey credit spreads before and after the Lehman Brothers’ default. A model based on the country-specific credit spread curve factors predicts... Read More about On the predictability of emerging market sovereign credit spreads.

On the Prediction of Emerging Market Sovereign Credit Spreads (2015)
Journal Article
Audzeyeva, A., & Fuertes, A. (2015). On the Prediction of Emerging Market Sovereign Credit Spreads. https://doi.org/10.2139/ssrn.2649216

This paper examines the quarter-ahead out-of-sample predictability of Brazil, Mexico, the Philippines and Turkey credit spreads before and after the Lehman Brothers' default. A model based on the country-specific credit spread curve factors predicts... Read More about On the Prediction of Emerging Market Sovereign Credit Spreads.

Emerging Market Sovereign Credit Spreads: In-Sample and Out-of-Sample Predictability (2015)
Journal Article
Audzeyeva, A., & Fuertes, A. (2015). Emerging Market Sovereign Credit Spreads: In-Sample and Out-of-Sample Predictability. https://doi.org/10.2139/ssrn.2649216

This paper investigates the quarter-ahead predictability of Brazil, Mexico, Philippines and Turkey credit spreads for short and long maturity bonds during two separate periods preceding and following the Lehman Brothers' default. A model based on the... Read More about Emerging Market Sovereign Credit Spreads: In-Sample and Out-of-Sample Predictability.

How to get the most from a business intelligence application during the post implementation phase? Deep structure transformation at a UK retail bank (2015)
Journal Article
Audzeyeva. (2015). How to get the most from a business intelligence application during the post implementation phase? Deep structure transformation at a UK retail bank. European Journal of Information Systems, 29-46. https://doi.org/10.1057/ejis.2014.44

This paper focuses on the process of maximizing the benefits from a business intelligence (BI) application. A general theoretical framework of analysis is formulated based on previous research into organizational deep structure and inertia. Our frame... Read More about How to get the most from a business intelligence application during the post implementation phase? Deep structure transformation at a UK retail bank.