Background Food insecurity is a pressing social and public health issue that varies in degree and impact on individuals and social groups, requiring immediate attention for policymakers and decision-makers. This study was conducted to identify the prevalence and associated factors of food insecurity of rural households particularly in the Shebel Berenta and Machakel districts of East Gojjam zone. Methods A cross-sectional study design was conducted, in the fall of March 2017 among 504 households. Households are selected using a systematic sampling technique through multistage cluster sampling technique (two stage cluster sampling). The data were collected using a structured interviewer-administered questionnaire covering a range of topics including 18 core food security modules (CFSM) question series, socioeconomic, demographic and related variables. Multivariable Partial proportional odds model (PPOM) was employed to identify the factors associated with food insecurity in rural households. Result Of a total of 504 households considered in the study, 54 (10.71%) were highly food secure, 75 (14.88%) were marginally food secure, 157 (31.15%) were low food secure, and 218 (43.25%) were severely food insecure. District (Machakel) (AOR = 3.28 95% CI: 1.73, 6.24), household head education status, illiterate (AOR = 113.4, 95% CI:7.02,1832.02), read and write (AOR = 169.29, 95%CI:11.64, 2461.39), and elementary completed (AOR = 119.75,95%CI:8.43,1700.74), agro-ecological zone, Woina Dega (AOR = 0.0021,95% CI: 0.00009,0.0514), Dega (AOR = 0.0323, 95%CI: 0.002, 0.5209), family size (AOR = 1.18, 95%CI: 1.01, 1.36), landholding (AOR = 0.767, 95% CI: 0.605, 0.972), TLU (AOR = 0.151, 95% CI: 0.0716, 0.3189), access to toilet (no) (AOR = 7.63, 95% CI: 1.459, 39.78), practicing irrigation (yes) (AOR = 0.121, 95% CI: 0.037, 0.38), loan (no) (AOR = 2.83, 95% CI:1.36, 5.89), access to energy, government electric (AOR = 0.468, 95% CI: 0.23, 0.94), solar panels (AOR = 0.45, 95% CI: 0.25, 0.79), soil fertility, moderate (AOR = 0.28, 95% CI: 0.12, 0.87), fertile (AOR = 0.15, 95% CI: 0.032, 0.72) were significant associated food insecurity factors in the study area. Conclusion In this study, a high prevalence of food insecurity and various associated food insecurity factors have been identified in the study area. Thus, the concerned stockholders should intervene in food insecure households via different irrigation practices and by considering household size, community-based household head education, and landholding in hectare.

Like most commodities, the price of silver is driven by supply and demand speculation, which makes the price of silver notoriously volatile due to the smaller market, lower market liquidity, and fluctuations in demand between industrial and store value use. The concern of this article was to model and forecast the silver price volatility dynamics on the Ethiopian market using GARCH family models using data from January 1998 to January 2014. The price return series of silver shows the characteristics of financial time series such as leptokurtic distributions and thus can suitably be modeled using GARCH family models. An empirical investigation was conducted to model price volatility using GARCH family models. Among the GARCH family models considered in this study, ARMA (1, 3)-EGARCH (3, 2) model with the normal distributional assumption of residuals was found to be a better fit for price volatility of silver. Among the exogenous variables considered in this study, saving interest rate and general inflation rate have a statistically significant effect on monthly silver price volatility. In the EGARCH (3, 2) volatility model, the asymmetric term was found to be positive and significant. This is an indication that the unanticipated price increase had a greater impact on price volatility than the unanticipated price decrease in silver. Then, concerned stockholders such as portfolio managers, planners, bankers, and investors should intervene and pay due attention to these factors in the formulation of financial and related market policy.