The banking industry is facing huge challenges due to technology-enabled innovation, to changes in customer preferences, to bank de-risking and to new regulatory initiatives. To go through all these changes, banks need to be stable. The present study contributes to the empirical literature by identifying the determinants of stability of banks in the Latvian Banking Industry. This study covers both bank-specific (endogenous) factors and macroeconomic (exogenous) factors that impact the stability of banks. The data set used in this study is the annual financial statements of Latvian banks operated in the period 2003-2016. Using multivariate regression analysis techniques, we found evidence that credit risk and efficiency ratio have a significant negative impact on banks' stability, whereas size of the bank, liquidity ratio, profitability, inflation and GDP growth have significant positive impact on bank's stability. We made comparison of bank-specific variables performance for Nordicowned and non-Nordic-owned banks. Credit and liquidity risks, as well as efficiency ratio for Nordic-owned banks during the research period were higher, whereas size of the banks and profitability were better. Comparing measurement results of stability of banks, we received that Nordic-owned banks performance between 2003 to 2016 was better than non-Nordic-owned banks performance.

The purpose of this study is to develop a Pandemic Risk Exposure Measurement (PREM) model to determine the factors that affect a country's prospective vulnerability to a pandemic risk exposure also considering the current COVID-19 pandemic. Methods: To develop the model, drew up an inventory of possible factor variables that might expose a country's vulnerability to a pandemic such as COVID-19. This model was based on the analysis of existing literature and consultations with some experts and associations. To support the inventory of selected possible factor variables, we have conducted a survey with participants sampled from people working in a risk management environment carrying out a risk management function. The data were subjected to statistical analysis, specifically exploratory factor analysis and Cronbach Alpha to determine and group these factor variables and determine their reliability, respectively. This enabled the development of the PREM model. To eliminate possible bias, hierarchical regression analysis was carried out to examine the effect of the "Level of Experienced Hazard of the Participant (LEH)" considering also the "Level of Expertise and Knowledge about Risk and Risk Management (LEK)". Results: Exploratory factor analysis loaded best on four factors from 19 variables: Demographic Features, Country's Activity Features, Economic Exposure and Societal Vulnerability (i.e. the PREM Model). This model explains 65.5% of the variance in the level of experienced hazard (LEH). Additionally, we determined that LEK explains only about 2% of the variance in LEH. Conclusion: The developed PREM model shows that monitoring of Demographic Features, Country's Activity Features, Economic Exposure and Societal Vulnerability can help a country to identify the possible impact of pandemic risk exposure and develop policies, strategies, regulations, etc., to help a country strengthen its capacity to meet the economic, social and in turn healthcare demands due to pandemic hazards such as COVID-19.

Despite the growing importance of digital transformation, empirical research on the drivers of digital transformation is still lacking, creating a knowledge gap. The purpose of this study is to explore the effect of digital orientation and digital capability on digital transformation, as well as the mediating effect of digital transformation on revenues and business models of SMEs during the COVID-19 pandemic. This paper examines a new conceptual framework designed on resource-based theory perspectives by using survey data of 246 SMEs in Latvia. To achieve the research purpose, this study used a mediation analysis to examine the direct effect of digital orientation and digital capability on digital transformation, as well as to explore the mediating effect of digital transformation on SME outcomes. Our results reveal that both digital orientation and digital capability have direct positive effects on digital transformation. We also found that digital transformation has a positive mediating effect from digital orientation on revenue and business model, as well as from digital capability on revenue. These findings could be useful for policymakers, managers and practitioners to clarify how digital orientation and digital capability intermediated through digital transformation affect the outcomes of SMEs.

How the banking business model in Latvia changes? What are the main forces determining these changes? What group of banks in the retail banking sector has had more intensive changes during the last three to five years? Are banks feeling competition from the FinTech companies and realising a more flexible and focused policy or are they continuing to believe on traditional banks' domination? This paper explores this process by analysing banking products and services in Latvia. How advancements in technology continue to transform the lives of banking customers? The study shows that digitalization guarantees the development of banks. Banks are looking at new avenues such as mobile application and mobile marketing to provide value-added services to customers and increase revenues by charging nominal fees for the services. Latvian banks are getting more flexible in customer services and banking products like crediting and financial resources transferring. We divided Latvian commercial banks into two significant groups: banks more specialized in international customers servicing and banks more specialized in domestic customers servicing. Financial indexes have been compared in conformity to these two groups. The CIR, ROA, ROE estimates point out the profitability and efficiency of commercial banks. LIQUIDITY shows that banks in Latvia have an adequate stock of unencumbered highquality liquid assets that can be converted easily and immediately into cash. The profitability and efficiency indicators are more predictable and stable in banks servicing domestic customers. Banks servicing international customers specialize in focused retail, but banks servicing domestic customers provide a wider range of products and services. As a result, banks servicing domestic customers are more flexible.

The widespread use of digital technologies and the current pandemic (COVID) have fueled the need and call for digital transformation in the banking sector. Although this has various benefits, it is a disruption to the norm to which a bank customer has to become accustomed. This variance means that customers would have to make some changes to their routine. This can constitute risks in terms of maintaining customer satisfaction at previous levels. These risks are associated with customer retention because a service or product needs to be aligned with customer expectations to avoid them switching to other service providers. Moreover, it can also have an effect on reputation. Offering digital account opening or remote deposits may not satisfy customers; competitive advantage depends on many aspects such as providing a hassle-free, personalized and cyber-secure experience, economic aspects and the needs of the society at large. Therefore, there is a need to understand the intensity of the risk factors that influence customer satisfaction for digitalized banking services and products. To do this, we carried out a structured survey, framed on the five dimensions of the SERVQUAL model, which was sent out to Northern Indian banking customers, to which we received 222 valid responses. We subjected the data received to Structural Equation Modelling using the SmartPLS version 3 application software. Results reveal that digital banking customers in Northern India are genuinely satisfied with the quality of services provided by digital banking. Moreover, ‘reliability’ has the strongest risk factor impact on customer satisfaction, followed by ‘tangibility’ and ‘responsiveness’.

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The authors of this paper are looking for answers: are domestic companies operating in small market economies such as the Baltics with little or no direct foreign involvement also at risk, taking into account that our companies mainly as a mean of exchange are using euro. The aim of this study is to examine the foreign exchange rate exposure of domestic corporations in the Baltic States. The study shows that companies in the Baltic States tend not to manage their foreign exchange risk properly and some of the companies are thus exposed to significant losses due to fluctuations in currency exchange rates. The VaR estimates are proposed and evaluated as a method to measure the position that is necessary to hedge.