Literatura académica sobre el tema "Earnings forecasts"

ABSTRACT: This study examines whether the market reacts more strongly to earnings forecast revisions when financial analysts supplement their earnings forecasts with sales forecasts. I find that earnings forecast revisions supplemented with sales forecast revisions have a greater impact on security prices than do stand-alone earnings forecast revisions, controlling for the incremental information content in sales forecasts. Supplemented earnings forecasts are more accurate ex post, controlling for other individual analyst characteristics. Results are robust to controlling for earnings persistence and time effects. Taken as a whole, financial analysts are more likely to supplement their earnings forecasts with sales forecasts when they have better information. Supplementary sales forecasts appear to lend credibility to earnings forecasts because financial analysts provide sales forecasts when they are more informed.

Research background: Several studies investigated the issue of accuracy of earnings fore-casts disclosed in IPO prospectus because of its importance in the investor’s decisions. Disclosing earnings forecasts can reduce information asymmetry and encourage potential investors to buy offered shares. The accuracy of earnings forecasts, and especially its deter-minants, was explored by some researchers, but for Polish companies such studies have not been conducted.Purpose of the article: The first objective of this study is to examine the bias and accuracy of earnings forecasts disclosed in IPO prospectuses by Polish companies attempting to be listed on the main market of the Warsaw Stock Exchange. The second aim of this paper is to identify the relationship between the absolute fore-cast error employed as a measure of earnings accuracy and a number of company specific characteristics such as company’s size, leverage, forecast horizon, managerial ownership, number of shares offered to investors (in relation to total shares before IPO).Methods: The empirical analysis were conducted on a sample of 102 domestic companies that performed IPOs on the main market of the Warsaw Stock Exchange during 2006-2015 and disclosed earnings forecasts in IPO prospectus. The forecast error (FER) and absolute forecast error (AFER) were adopted as a measure of accuracy of earnings forecasts. The non-parametric test was employed to achieve the adopted aims.Findings & Value added: The results show that, on average, the forecasted earnings exceed the actual earnings (i.e. the earnings forecasts are optimistic) and fore-casts are inaccurate. Moreover, the optimistic forecasts are more inaccurate than pessimistic ones. The findings of multiple regression model show that three independent variables may affect the level of absolute forecast error: the company’s size, managerial ownership and forecast horizon.

We investigate the association between the bias and accuracy of consensus analysts’ earnings forecasts and whether a firm is a sin firm or not. We measure analyst forecast bias as the difference between the consensus earnings forecast and the actual earnings, scaled by the stock price. We measure analyst forecast accuracy as the negative of the absolute value of the difference between the firms’ forecasted and actual earnings, scaled by the stock price. We find a positive association between the level of forecast optimism and sin firm membership. We find a negative association between the level of forecast accuracy and sin firm membership. Overall, these results imply that analysts tend to issue over-optimistic and less accurate earnings forecasts on sin firms.

ABSTRACT Analysts are selective about which forecasts they update and, thus, convey information about current quarter earnings even when not revising the current quarter earnings (CQE) forecast. We find that (1) textual statements, (2) share price target revisions, and (3) future quarter earnings forecast revisions all predict error in the CQE forecast. We document several reasons analysts sometimes omit information from the CQE forecast: to facilitate beatable forecasts by suppressing positive news from the CQE forecast, to herd toward the consensus, and to avoid small forecast revisions. We also show that omitting information from CQE forecasts leads to lower forecast dispersion and predictable returns at the earnings announcement.

Scholars have reasoned that analysts issue optimistic forecasts to improve their access to managers’ private information when earnings are unpredictable. While this requires a managerial preference for analyst forecast optimism, the observed walk-down of analyst expectations to beatable forecasts is consistent with a managerial preference for pessimism in short-horizon forecasts. Using data from various sample periods, alternative model specifications, and various measures of earnings unpredictability, we find that pessimism, not optimism, in short-horizon forecasts is associated with increasingly unpredictable earnings. Our results suggest that firms can more effectively manage analysts’ earnings expectations downward when earnings are relatively unpredictable.

Purpose – The purpose of this paper is to examine the impact of management’s choice of forecast precision on the subsequent dispersion and accuracy of analysts’ earnings forecasts. Design/methodology/approach – Using a sample of 3,584 yearly management earnings per share (EPS) forecasts and 10,287 quarterly management EPS forecasts made during the period of 2002-2007 and collected from the First Call database, the authors controlled for factors previously found to impact analysts’ forecast accuracy and dispersion and investigate the link between management forecast precision and attributes of the analysts’ forecasts. Findings – Results provide empirical evidence that managements’ disclosure precision has a statistically significant impact on both the dispersion and the accuracy of subsequent analysts’ forecasts. It was found that the dispersion in analysts’ forecasts is negatively related to the management forecast precision. In other words, a precise management forecast is associated with a smaller dispersion in the subsequent analysts’ forecasts. Evidence consistent with accuracy in subsequent analysts’ forecasts being positively associated with the precision in the management forecast was also found. When the present analysis focuses on range forecasts provided by management, it was found that lower precision (a larger range) is associated with a larger dispersion among analysts and larger forecast errors. Practical implications – Evidence suggests a consistency in inferences across both annual and quarterly earnings forecasts by management. Accordingly, recent calls to eliminate earnings guidance through short-term quarterly management forecasts may have failed to consider the linkage between the attributes (precision) of those forecasts and the dispersion and accuracy in subsequent analysts’ forecasts. Originality/value – This study contributes to the literature on both management earnings forecasts and analysts’ earnings forecasts. The results assist in policy deliberations related to calls to eliminate short-term management earnings guidance.

SYNOPSIS: We investigate the implications of recommendation-forecast consistency for the informativeness of stock recommendations and earnings forecasts and the quality of analysts' earnings forecasts. Stock recommendations and earnings forecasts are often issued simultaneously and evaluated jointly by investors. However, the two signals are often inconsistent with each other. Defining a recommendation-forecast pair as consistent if both of them are above or below their existing consensus, we find that 58.3 percent of recommendation-forecast pairs are consistent in our sample. We document that consistent pairs result in much stronger market reactions than inconsistent pairs. We show that analysts making consistent recommendation forecasts make more accurate and timelier forecasts than do analysts making inconsistent recommendation forecasts, suggesting that consistent analysts make higher-quality earnings forecasts. We extend the literature on informativeness of analyst research by showing that recommendation-forecast consistency is an important ex ante signal regarding both firm valuation and earnings forecast quality. Investors and researchers can use consistency as a salient, ex ante signal to identify more informative analyst research and superior earnings forecasts. Data Availability: All data are available from public sources.

ABSTRACT We investigate the relationship between cost stickiness and management earnings forecasts. Prior research suggests that earnings are more volatile for sticky cost firms resulting in greater earnings forecast errors. The greater forecast errors might increase investors' demand for information and induce managers to issue earnings forecasts. Alternatively, managers might refrain from issuing earnings forecasts for sticky cost firms because greater forecast errors might damage managers' credibility and adversely affect their job security. We find that cost stickiness is positively associated with management earnings forecast issuance, suggesting that the benefits outweigh the costs. Prior research also suggests that cost stickiness has negative implications for earnings. We find a positive association between cost stickiness and management earnings forecast errors, suggesting that managers do not fully incorporate the negative implications of cost stickiness into their forecasts. Finally, we find that analysts' forecast errors for sticky cost firms are greater than managers'. JEL Classifications: M41; M46; G12.

ABSTRACT Despite the increased frequency of analyst forecasts during earnings announcements, empirical evidence on the interaction between the information in the earnings announcement and these forecasts is limited. We examine the implications of reinforcing and contradicting analyst forecast revisions issued during earnings announcements (days 0 and +1) on the market response to unexpected earnings. We classify forecast revisions as reinforcing (contradicting) when the sign of analyst forecast revisions agrees (disagrees) with the sign of unexpected earnings. We document larger (smaller) earnings response coefficients for announcements accompanied by reinforcing (contradicting) analyst forecast revisions. Analyses of management forecasts suggest that analyst revisions and management forecasts convey complementary information. Cross-sectional tests show that investors react more to earnings announcements accompanied by analyst forecast revisions when there is greater consensus among analysts (lower dispersion) and that better earnings quality (higher persistence) mitigates the negative impact of contradictory analyst forecast revisions. JEL Classifications: D82; G29; M41.

When corporate management issues an earnings forecast there are potentially two surprises. One potential surprise is that a forecast was issued and the other is the surprise in the earnings forecast. Accordingly, the observed stock market reaction to management earnings forecasts may be due to one or the other, or both. This study decomposes the cross-sectional variability in stock market reactions to management earnings forecasts into the portions attributable to the forecast surprise and the earnings surprise. The results indicate that the market's reaction is a function of both the earnings surprise and the forecast surprise. However, the market reaction is more associated with forecast surprise than with the earnings surprise. This suggests that results in previous studies on the market reactions to management earnings forecasts may need to be reconsidered.

Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 37-39).
This paper examines whether earnings targets used in long-term performance-based compensation plans predict future performance. Using a sample of targets from long-term grants made to CEOs from 2007 to 2012, I find that earnings targets provide information about future earnings outcomes; however, analysts do not respond to the information targets provide at the time of disclosure. Rather, I find analysts primarily adjust their expectations in the year of the performance period. The information value of targets is robust to variation in crosssectional factors such as monitoring and financial reporting concerns, and concentrated in cases where agency conflicts are low and traditional management forecasts are not available. To my knowledge, this analysis is the first to document a forecasting role for the long-term targets used in earnings-based compensation plans.
by Heidi A. Packard.
Ph. D.

The object of this thesis is to investigate the tool of earnings management firms use to meet analysts’ forecasts and then provide evidence for setting slightly meet and slightly miss as indicator of earnings management. Managers have sort of incentives to meet analysts’ forecasts. In the prior literature, managers have more motivations to meet analysts’ forecasts through earnings management than real activities. I argue that managers will manipulate discretionary accruals in order to beat analysts’ forecasts. And I also argue that slightly meet and slightly miss could be an indicator of earnings management. In the empirical examination, I use discretionary accrual as proxy of earnings management and recalculate it using Jones (1991). Meet analysts’ forecasts are calculated as the difference between actual EPS and forecasts EPS. A frequency test of Meet is presented as well. The result show: (1) Frequency table gives a higher frequency in slightly beat analysts’ forecasts than other situations. (2) A significant positive correlation between slightly meet and miss and discretionary accrual, which capture that if firm try to get close to analysts’ forecast, the discretionary accruals will inceases. This significant correlation also gives strong support to set slightly meet and miss as an indicator of earnings management.

Using a novel setting, I examine the relation between a CEO's career concerns and the provision of an annual earnings forecast. Specifically, I exploit staggered changes in non-compete enforcement laws in three U.S. states as a source of exogenous variation in a CEO’s career concerns. Consistent with theory suggesting that career concerns increase a manager's aversion to risk, I find that a CEO is less likely to issue an earnings forecast in periods of stricter non-compete enforcement. Further, cross-sectional analyses indicate that the lower probability of forecast issuance is more pronounced for a CEO who has greater concern for his reputation, faces more risk in forecasting, and is more vulnerable to dismissal.

The primary aim of this study is to investigate the stock return volatility surrounding management earnings forecasts. Disclosure by managers of expected earnings are particularly important communications, and as such, it is important to understand the capital market implications surrounding them. In doing so, the research questions are essentially aimed at examining the stock return volatility, first, at the release of a management earnings forecast, and second, at the eventual announcement of the realised earnings for that period. The first test investigates whether there is an increase in volatility surrounding a management earnings forecast for those firms who release them compared to a matched-firm sample of firms without a management earnings forecast at that date, and then further examines that result based on different forecast antecedents and forecast characteristics. Next, this study tests, for firms who do release a management earnings forecast during the year, whether stock volatility is lower than firms who do not release a management earnings forecast at the eventual earnings announcement date. In brief, the evidence using the Garman and Klass [1980] ???best analytic scale-invariant estimator??? of volatility in an Australian context, between 1993 and 2003, finds that stock return volatility is greater for bad news forecasts, forecasts of low specificity, and forecasts issued by firms perceived ex ante as being of lower credibility using both permutation analysis and modelling daily volatility. At the earnings announcement date, however, there is no evidence that stock return volatility is lower for firms that issue management earnings forecasts during the year. Overall, this result challenges the information asymmetry argument in the literature that disclosure will reduce volatility in the long-run.

This study examines the relationship between a firm??s degree of multinationality and its managers?? earnings forecasts. Firms with a high degree of multinationality are subject to greater uncertainty regarding earnings forecasts due to the additional risk resulting from the more complex multinational environment. Prior research demonstrates that firms that fail to meet or beat market expectations experience disproportionate market losses at earnings announcement dates. The complexities and greater uncertainty resulting from higher levels of multinationality are expected to be negatively associated with management earnings forecast precision, accuracy, and bias (downward versus upward). Results of the study are mixed. Regarding forecast precision, two measures of multinationality (foreign sales / total sales and the number of geographic segments) are significantly negatively related to management earnings forecast precision. This was the expected relationship. Regarding forecast accuracy, contrary to expectations, forecast accuracy is positively related to multinationality, with regard to the number of geographic segments a firm discloses. Regarding forecast bias, unexpectedly, two measures of multinationality (foreign sales / total sales and number of countries withforeign subsidiaries) are significantly positively related to more optimistic management earnings forecasts.

Earnings forecasts are an important input for equity valuation and asset allocation decision. Nevertheless, there are many contradictory findings about the most accurate model as well as the best proxy for the market expectation of future earnings in the literature. Hence, with the aim of providing solutions to these problems, this thesis comprises four main studies of different issues related to forecasting earnings.

Prior research provides evidence on how manager attributes affect characteristics of management earnings forecasts and how firm characteristics affect market participants’ perception of the credibility of management earnings forecasts. Using a manager-firm matched panel dataset, this thesis examines whether the perceived credibility of management earnings forecasts, as measured by investors’ and analysts’ responses to management earnings forecasts news, are influenced by: (1) the forecasting track records of individual managers, and (2) manager attributes. The results indicate that, overall, investors’ responses to management earnings forecasts vary with the firms’ forecasting track records but not with the forecasting track records of individual managers or with manager attributes. The results indicate that analysts’ responses to management earnings forecasts are positively associated with managers’ individual forecasting track records. Results also indicate that analysts react less strongly to management earnings forecasts issued by CEOs with CFO experience, and react more strongly to management earnings forecasts issued by managers who are also the chairperson. Overall, the results suggest that analysts, being more sophisticated users, consider both manager- and firm-specific characteristics in their assessments of management earnings forecasts. This thesis contributes to the literature by providing a more comprehensive understanding of whether manager-specific forecasting track records and manager attributes matter to investors and analysts. The findings reported in this thesis may help to inform the communicators (firms and managers) of management earnings forecasts about what matters to users, which may help them vary their forecasting behaviours. Results may also help inform boards of directors about what matters to users of management earnings forecasts and help the board better monitor managers in this regard, and, inform observers such as regulators and commentators in providing signals about what matters to users in terms managers’ forecasting behaviours and attributes.

Abstract This paper reviews oil (and gas) supply forecasting models and subsequently espouses atypical modeling approaches for the optimal allocation of crude oil production. This paper becomes imperative within the context of the global energy transition and the future of the oil and gas industry in Africa in general and Nigeria, in particular. A categorization framework has been utilized to classify oil supply forecasting models based on regional focus, modelling techniques, and outcomes. The log – log functional form is adopted in this paper to forecast oil production in Nigeria and subsequently optimize its allocation. A review of literature indicates that oil (and gas) supply forecasting has a long history and in recent times, there has been the tendency to rely on models that integrate engineering with economics. The models used to project oil and gas production to meet climate goals have now inputted environmental targets. This review of oil production forecast models is carried out against the backdrop of the need to optimally allocate Nigeria's future oil production to diverse uses. This will have impact on expected oil export earnings, domestic fuels’ imports, and the potential for petroleum products’ export earnings.

1.1 Macroeconomic summary Economic recovery has consistently outperformed the technical staff’s expectations following a steep decline in activity in the second quarter of 2020. At the same time, total and core inflation rates have fallen and remain at low levels, suggesting that a significant element of the reactivation of Colombia’s economy has been related to recovery in potential GDP. This would support the technical staff’s diagnosis of weak aggregate demand and ample excess capacity. The most recently available data on 2020 growth suggests a contraction in economic activity of 6.8%, lower than estimates from January’s Monetary Policy Report (-7.2%). High-frequency indicators suggest that economic performance was significantly more dynamic than expected in January, despite mobility restrictions and quarantine measures. This has also come amid declines in total and core inflation, the latter of which was below January projections if controlling for certain relative price changes. This suggests that the unexpected strength of recent growth contains elements of demand, and that excess capacity, while significant, could be lower than previously estimated. Nevertheless, uncertainty over the measurement of excess capacity continues to be unusually high and marked both by variations in the way different economic sectors and spending components have been affected by the pandemic, and by uneven price behavior. The size of excess capacity, and in particular the evolution of the pandemic in forthcoming quarters, constitute substantial risks to the macroeconomic forecast presented in this report. Despite the unexpected strength of the recovery, the technical staff continues to project ample excess capacity that is expected to remain on the forecast horizon, alongside core inflation that will likely remain below the target. Domestic demand remains below 2019 levels amid unusually significant uncertainty over the size of excess capacity in the economy. High national unemployment (14.6% for February 2021) reflects a loose labor market, while observed total and core inflation continue to be below 2%. Inflationary pressures from the exchange rate are expected to continue to be low, with relatively little pass-through on inflation. This would be compatible with a negative output gap. Excess productive capacity and the expectation of core inflation below the 3% target on the forecast horizon provide a basis for an expansive monetary policy posture. The technical staff’s assessment of certain shocks and their expected effects on the economy, as well as the presence of several sources of uncertainty and related assumptions about their potential macroeconomic impacts, remain a feature of this report. The coronavirus pandemic, in particular, continues to affect the public health environment, and the reopening of Colombia’s economy remains incomplete. The technical staff’s assessment is that the COVID-19 shock has affected both aggregate demand and supply, but that the impact on demand has been deeper and more persistent. Given this persistence, the central forecast accounts for a gradual tightening of the output gap in the absence of new waves of contagion, and as vaccination campaigns progress. The central forecast continues to include an expected increase of total and core inflation rates in the second quarter of 2021, alongside the lapse of the temporary price relief measures put in place in 2020. Additional COVID-19 outbreaks (of uncertain duration and intensity) represent a significant risk factor that could affect these projections. Additionally, the forecast continues to include an upward trend in sovereign risk premiums, reflected by higher levels of public debt that in the wake of the pandemic are likely to persist on the forecast horizon, even in the context of a fiscal adjustment. At the same time, the projection accounts for the shortterm effects on private domestic demand from a fiscal adjustment along the lines of the one currently being proposed by the national government. This would be compatible with a gradual recovery of private domestic demand in 2022. The size and characteristics of the fiscal adjustment that is ultimately implemented, as well as the corresponding market response, represent another source of forecast uncertainty. Newly available information offers evidence of the potential for significant changes to the macroeconomic scenario, though without altering the general diagnosis described above. The most recent data on inflation, growth, fiscal policy, and international financial conditions suggests a more dynamic economy than previously expected. However, a third wave of the pandemic has delayed the re-opening of Colombia’s economy and brought with it a deceleration in economic activity. Detailed descriptions of these considerations and subsequent changes to the macroeconomic forecast are presented below. The expected annual decline in GDP (-0.3%) in the first quarter of 2021 appears to have been less pronounced than projected in January (-4.8%). Partial closures in January to address a second wave of COVID-19 appear to have had a less significant negative impact on the economy than previously estimated. This is reflected in figures related to mobility, energy demand, industry and retail sales, foreign trade, commercial transactions from selected banks, and the national statistics agency’s (DANE) economic tracking indicator (ISE). Output is now expected to have declined annually in the first quarter by 0.3%. Private consumption likely continued to recover, registering levels somewhat above those from the previous year, while public consumption likely increased significantly. While a recovery in investment in both housing and in other buildings and structures is expected, overall investment levels in this case likely continued to be low, and gross fixed capital formation is expected to continue to show significant annual declines. Imports likely recovered to again outpace exports, though both are expected to register significant annual declines. Economic activity that outpaced projections, an increase in oil prices and other export products, and an expected increase in public spending this year account for the upward revision to the 2021 growth forecast (from 4.6% with a range between 2% and 6% in January, to 6.0% with a range between 3% and 7% in April). As a result, the output gap is expected to be smaller and to tighten more rapidly than projected in the previous report, though it is still expected to remain in negative territory on the forecast horizon. Wide forecast intervals reflect the fact that the future evolution of the COVID-19 pandemic remains a significant source of uncertainty on these projections. The delay in the recovery of economic activity as a result of the resurgence of COVID-19 in the first quarter appears to have been less significant than projected in the January report. The central forecast scenario expects this improved performance to continue in 2021 alongside increased consumer and business confidence. Low real interest rates and an active credit supply would also support this dynamic, and the overall conditions would be expected to spur a recovery in consumption and investment. Increased growth in public spending and public works based on the national government’s spending plan (Plan Financiero del Gobierno) are other factors to consider. Additionally, an expected recovery in global demand and higher projected prices for oil and coffee would further contribute to improved external revenues and would favor investment, in particular in the oil sector. Given the above, the technical staff’s 2021 growth forecast has been revised upward from 4.6% in January (range from 2% to 6%) to 6.0% in April (range from 3% to 7%). These projections account for the potential for the third wave of COVID-19 to have a larger and more persistent effect on the economy than the previous wave, while also supposing that there will not be any additional significant waves of the pandemic and that mobility restrictions will be relaxed as a result. Economic growth in 2022 is expected to be 3%, with a range between 1% and 5%. This figure would be lower than projected in the January report (3.6% with a range between 2% and 6%), due to a higher base of comparison given the upward revision to expected GDP in 2021. This forecast also takes into account the likely effects on private demand of a fiscal adjustment of the size currently being proposed by the national government, and which would come into effect in 2022. Excess in productive capacity is now expected to be lower than estimated in January but continues to be significant and affected by high levels of uncertainty, as reflected in the wide forecast intervals. The possibility of new waves of the virus (of uncertain intensity and duration) represents a significant downward risk to projected GDP growth, and is signaled by the lower limits of the ranges provided in this report. Inflation (1.51%) and inflation excluding food and regulated items (0.94%) declined in March compared to December, continuing below the 3% target. The decline in inflation in this period was below projections, explained in large part by unanticipated increases in the costs of certain foods (3.92%) and regulated items (1.52%). An increase in international food and shipping prices, increased foreign demand for beef, and specific upward pressures on perishable food supplies appear to explain a lower-than-expected deceleration in the consumer price index (CPI) for foods. An unexpected increase in regulated items prices came amid unanticipated increases in international fuel prices, on some utilities rates, and for regulated education prices. The decline in annual inflation excluding food and regulated items between December and March was in line with projections from January, though this included downward pressure from a significant reduction in telecommunications rates due to the imminent entry of a new operator. When controlling for the effects of this relative price change, inflation excluding food and regulated items exceeds levels forecast in the previous report. Within this indicator of core inflation, the CPI for goods (1.05%) accelerated due to a reversion of the effects of the VAT-free day in November, which was largely accounted for in February, and possibly by the transmission of a recent depreciation of the peso on domestic prices for certain items (electric and household appliances). For their part, services prices decelerated and showed the lowest rate of annual growth (0.89%) among the large consumer baskets in the CPI. Within the services basket, the annual change in rental prices continued to decline, while those services that continue to experience the most significant restrictions on returning to normal operations (tourism, cinemas, nightlife, etc.) continued to register significant price declines. As previously mentioned, telephone rates also fell significantly due to increased competition in the market. Total inflation is expected to continue to be affected by ample excesses in productive capacity for the remainder of 2021 and 2022, though less so than projected in January. As a result, convergence to the inflation target is now expected to be somewhat faster than estimated in the previous report, assuming the absence of significant additional outbreaks of COVID-19. The technical staff’s year-end inflation projections for 2021 and 2022 have increased, suggesting figures around 3% due largely to variation in food and regulated items prices. The projection for inflation excluding food and regulated items also increased, but remains below 3%. Price relief measures on indirect taxes implemented in 2020 are expected to lapse in the second quarter of 2021, generating a one-off effect on prices and temporarily affecting inflation excluding food and regulated items. However, indexation to low levels of past inflation, weak demand, and ample excess productive capacity are expected to keep core inflation below the target, near 2.3% at the end of 2021 (previously 2.1%). The reversion in 2021 of the effects of some price relief measures on utility rates from 2020 should lead to an increase in the CPI for regulated items in the second half of this year. Annual price changes are now expected to be higher than estimated in the January report due to an increased expected path for fuel prices and unanticipated increases in regulated education prices. The projection for the CPI for foods has increased compared to the previous report, taking into account certain factors that were not anticipated in January (a less favorable agricultural cycle, increased pressure from international prices, and transport costs). Given the above, year-end annual inflation for 2021 and 2022 is now expected to be 3% and 2.8%, respectively, which would be above projections from January (2.3% and 2,7%). For its part, expected inflation based on analyst surveys suggests year-end inflation in 2021 and 2022 of 2.8% and 3.1%, respectively. There remains significant uncertainty surrounding the inflation forecasts included in this report due to several factors: 1) the evolution of the pandemic; 2) the difficulty in evaluating the size and persistence of excess productive capacity; 3) the timing and manner in which price relief measures will lapse; and 4) the future behavior of food prices. Projected 2021 growth in foreign demand (4.4% to 5.2%) and the supposed average oil price (USD 53 to USD 61 per Brent benchmark barrel) were both revised upward. An increase in long-term international interest rates has been reflected in a depreciation of the peso and could result in relatively tighter external financial conditions for emerging market economies, including Colombia. Average growth among Colombia’s trade partners was greater than expected in the fourth quarter of 2020. This, together with a sizable fiscal stimulus approved in the United States and the onset of a massive global vaccination campaign, largely explains the projected increase in foreign demand growth in 2021. The resilience of the goods market in the face of global crisis and an expected normalization in international trade are additional factors. These considerations and the expected continuation of a gradual reduction of mobility restrictions abroad suggest that Colombia’s trade partners could grow on average by 5.2% in 2021 and around 3.4% in 2022. The improved prospects for global economic growth have led to an increase in current and expected oil prices. Production interruptions due to a heavy winter, reduced inventories, and increased supply restrictions instituted by producing countries have also contributed to the increase. Meanwhile, market forecasts and recent Federal Reserve pronouncements suggest that the benchmark interest rate in the U.S. will remain stable for the next two years. Nevertheless, a significant increase in public spending in the country has fostered expectations for greater growth and inflation, as well as increased uncertainty over the moment in which a normalization of monetary policy might begin. This has been reflected in an increase in long-term interest rates. In this context, emerging market economies in the region, including Colombia, have registered increases in sovereign risk premiums and long-term domestic interest rates, and a depreciation of local currencies against the dollar. Recent outbreaks of COVID-19 in several of these economies; limits on vaccine supply and the slow pace of immunization campaigns in some countries; a significant increase in public debt; and tensions between the United States and China, among other factors, all add to a high level of uncertainty surrounding interest rate spreads, external financing conditions, and the future performance of risk premiums. The impact that this environment could have on the exchange rate and on domestic financing conditions represent risks to the macroeconomic and monetary policy forecasts. Domestic financial conditions continue to favor recovery in economic activity. The transmission of reductions to the policy interest rate on credit rates has been significant. The banking portfolio continues to recover amid circumstances that have affected both the supply and demand for loans, and in which some credit risks have materialized. Preferential and ordinary commercial interest rates have fallen to a similar degree as the benchmark interest rate. As is generally the case, this transmission has come at a slower pace for consumer credit rates, and has been further delayed in the case of mortgage rates. Commercial credit levels stabilized above pre-pandemic levels in March, following an increase resulting from significant liquidity requirements for businesses in the second quarter of 2020. The consumer credit portfolio continued to recover and has now surpassed February 2020 levels, though overall growth in the portfolio remains low. At the same time, portfolio projections and default indicators have increased, and credit establishment earnings have come down. Despite this, credit disbursements continue to recover and solvency indicators remain well above regulatory minimums. 1.2 Monetary policy decision In its meetings in March and April the BDBR left the benchmark interest rate unchanged at 1.75%.